END USE BASED MODEL FOR RESIDENTIAL POWER
CONSUMPTION FORECASTING IN NAIROBI REGION,
KENYA
NAME:
MARGARET KANINI NZIA
REG. NO.
F56/78274/2009
A Report Submitted in Partial fulfillment of the requirements for the
award of the Degree of Master of Science in Energy Management,
University of Nairobi.
Department of Mechanical and Manufacturing Engineering
School of Engineering
University of Nairobi
July 2013
DECLARATION
I hereby declare that this is my original work and has not been presented for a degree in
any other university.
Signature %%%%%%%%%%%..
Date%%%%%%%%%%%%..
Margaret Kanini Nzia
This report has been submitted for examination with our approval as University
supervisors.
Signature%%%%%%%%%%%.
Date%%%%%%%%%%%%.
Dr. Alex A. Aganda
(Department of Mechanical and Manufacturing Engineering, University of Nairobi)
Signature%%%%%%%%%%%..
Date%%%%%%%%%%%%..
Prof. Felix M. Luti
(Department of Mechanical and Manufacturing Engineering, University of Nairobi)
ii
ABSTRACT
This study set out to generate baseline data and information through the analysis of
secondary energy consumption data available from the Kenya Power and Lighting
Company Ltd (KPLC) for domestic households in Nairobi region, both urban and rural
based. The accuracy of the current econometric model used for forecasting residential
energy demand for the purposes of planning was assessed. Through interviews,
observations and ownership of electrical appliances, end use patterns for the various
income groups of households were analysed.
It was established that ownership of household appliances and their standard
consumption have an influence on the total energy demand.
The average annual
consumption per household in the urban high, medium, and low income groups was
5,767kWh, 1,642kWh and 451kWh respectively, while that of the rural high, middle and
low income households was 1,634kWh, 733kWh and 218kWh per household per year.
Based on the consumption per household and considering demographic, socialeconomic and penetration level of appliances, an engineering (end use based) model
was developed for forecasting residential electricity demand. The model was used to
estimate the residential consumption in Nairobi region from the year 2009 to 2012.
Using the model, the predicted consumption for the year 2010 was found to compare
better with the actual recorded consumption in KPLC records than the econometric
model. The 2009, 2011and 2012 predictions, though better than the econometric model
predictions yielded less accurate results due to lack of necessary data.
The end use model was found to be more accurate for forecasting of energy demand
and is recommended. It is also recommended that the end use model be developed
further to include other forms of energy and to be used for energy demand forecasting
for the County Governments.
Further improvements to this model would consider
urban–rural migration, technological changes (energy efficiency), migration from one
income group to the other and changes in penetration level of appliances.
iii
ACKNOWLEDGEMENT
I wish to express my profound gratitude to my supervisors, Dr. Alex A. Aganda and Prof.
Felix M. Luti for their encouragement and valuable guidance throughout the study.
To the management of the Kenya Power & Lighting Company Ltd, I thank you for the
financial support which made this study possible. To the staff of KPLC that availed the
necessary datafor use in this study, I thank you all. Special mention goes to Eng. Paul
Mugo, Eng.Peter Njenga, Eng. Aggrey Machasio and Mr. Julius Mutahi for providing
logistical support whilecarrying out the household survey. I also thank the System
Planning Engineers, Eng. Boniface Kinyanjui and Mr. Amos Nabaala for providing vital
planning data that assisted this study.
The cooperation and assistance of the sampled household heads contributed
immensely to the success of this study and I wish to thank them all.
Lastly, special thanks go to my family.
Their encouragement and understanding
contributed immensely to the success of this study.
iv
Table of Contents
DECLARATION .................................................................................................................................... ii
ABSTRACT .......................................................................................................................................... iii
ACKNOWLEDGEMENT...................................................................................................................... iv
LIST OF FIGURES ............................................................................................................................. vii
LIST OF TABLES ............................................................................................................................... vii
LIST OF APPENDICES ...................................................................................................................... ix
NOTATION ............................................................................................................................................ x
CHAPTER ONE .................................................................................................................................... 1
1.
INTRODUCTION........................................................................................................................... 1
1.1
Background ............................................................................................................................ 1
1.2
Electricity Demand in Kenya ................................................................................................ 3
1.3
Planning for future electricity demand ................................................................................. 5
1.4
Problem Statement................................................................................................................ 6
1.5
Objectives of the study.......................................................................................................... 7
1.6
Organization of the report ..................................................................................................... 8
2.0
LITERATURE REVIEW ............................................................................................................ 9
2.1
Electricity Demand and consumption in households.......................................................... 9
2.2
Demand forecasting and Power planning ......................................................................... 11
2.2
Methods of forecasting energy demand ............................................................................ 12
2.3
Background information on Power Planning in Kenya ..................................................... 16
3.0
METHODOLOGY .................................................................................................................... 21
3.1
General Approach ............................................................................................................... 21
3.2
Sampling .............................................................................................................................. 21
3.2.1
Selection of samples ................................................................................................... 21
3.3
Determining the Sample Size ............................................................................................. 22
3.4
Sample design ..................................................................................................................... 23
3.5
Classification of households ............................................................................................... 24
3.6
Electrical Energy Household survey .................................................................................. 24
3.7
Assessment of income level of a given household........................................................... 25
v
4
3.8
Data Processing .................................................................................................................. 26
3.9
Data Analysis ....................................................................................................................... 27
RESULTS .................................................................................................................................... 32
4.1
Appliances Data .................................................................................................................. 32
4.2
Analysis of the KPLC Bills .................................................................................................. 32
4.3
Distribution of Surveyed Households according to average annual electricity
consumption .................................................................................................................................... 32
4.4
Power Consumption Characteristics.................................................................................. 36
4.4.1
Mean Consumption ..................................................................................................... 36
4.4.2
Sample Standard Deviation ........................................................................................ 36
4.6
Penetration Level of appliances per income level ............................................................ 38
4.6.1
Penetration level of appliances in Nairobi Region - Urban ...................................... 40
4.6.2
Penetration level of appliances in Nairobi Region - Rural ........................................ 42
4.7
Mathematical Calculation (Specific Consumption) of consumption per appliance ........ 44
4.8
Adjustment of calculated consumptions to actual consumptions .................................... 46
4.8.1
4.9
Clustering of appliances to end uses and their Specific consumption .................... 49
Electricity Consumption by end use per income group .................................................... 51
4.9.1
High Income urban households consumption per end use ...................................... 52
4.9.2
Middle Income Households Consumption by end use ............................................. 53
4.9.3
Low Income Urban Households Consumption by end use ...................................... 55
4.9.4
High Income Rural Households Consumption by end use ...................................... 57
4.9.5
Middle Income Rural Households Consumption by end use ................................... 58
4.9.6
Low Income Rural Households Consumption by end use ....................................... 60
4.10
Using the results of the survey to prepare a forecasting model ...................................... 61
4.11
Model Verification ................................................................................................................ 62
CHAPTER FIVE .................................................................................................................................. 67
5
DISCUSSIONS............................................................................................................................ 67
5.1
5.1.1
Electricity consumption patterns for households....................................................... 67
5.1.2
Consumption by end use ............................................................................................ 69
5.2
6
Residential Power Consumption in Nairobi Region.......................................................... 67
Forecasting model Residential Power Consumption in Nairobi Region ......................... 70
CONCLUSIONS AND RECOMMENDATIONS ........................................................................ 73
vi
7
6.1
Conclusions ......................................................................................................................... 73
6.2
Recommendations .............................................................................................................. 75
REFERENCES ............................................................................................................................ 76
APPENDICES ..................................................................................................................................... 78
LIST OF FIGURES
Figure 1.1 Historical electricity sales to end users in Kenya............................................................. 3
Figure 2.1 Actual and Predicted Energy demand (GWh) in Kenya ................................................ 18
Figure 4.1 Distribution of annual consumption for the urban sample............................................. 34
Figure 4.2 Distribution of annual consumption for the rural sample ............................................... 35
Figure 4.3 Penetration of appliances in Nairobi Region – Urban Households .............................. 41
Figure 4.4 % Access levels of appliances in Nairobi Rural ............................................................. 43
Figure 4.5 Electricity Consumption by end use for Nairobi urban High income households ....... 53
Figure 4.6 Electricity Consumption by End Use for Nairobi Urban Middle income households .. 55
Figure 4.7 % Share of consumption by end use in low income urban households ...................... 57
Figure 4.8 Electricity Consumption by end use in High income rural households ........................ 58
Figure 4.9 Electricity Consumption by end use in rural middle income households..................... 59
Figure 4.10 Electricity Consumption by end use for rural low income households ...................... 60
Figure 4.11 Computed Vs actual Residential electricity demand in Nairobi region ...................... 65
Figure 4.12. Comparison of the number of households and the energy consumption ................. 66
LIST OF TABLES
Table 3.1 Categorization of the sample ............................................................................................ 26
Table 4.1 Categorization of Urban sample ....................................................................................... 37
Table 4.2 Categorization of Rural Sample ....................................................................................... 38
Table 4.3 Penetration (% access levels) of Household appliances in Nairobi region .................. 38
Table 4.4 Mathematical Calculation of Consumption - Urban Sample .......................................... 45
Table 4.5 Mathematical Calculation of Consumption - Rural sample ............................................ 45
Table 4.6 Adjustment of Specific Consumptions of appliances...................................................... 47
Table 4.7 Clustering of appliances to end uses ............................................................................... 49
vii
Table 4.8 Adjustment Specific Consumption of end uses per income level for Nairobi Urban/
Rural .................................................................................................................................................... 50
Table 4.9 Electricity consumption by end use in Nairobi High income urban households .......... 52
Table 4.10 Electricity Consumption by end use for Nairobi Middle Income households.............. 54
Table 4.11 Electricity Consumption by end use for low income urban households...................... 55
Table 4.12 Electricity Consumption by end use in High income rural Households ..................... 57
Table 4.13 Electricity Consumption by end use in Middle income rural households .................... 59
Table 4.14 Electricity Consumption by end use in low income rural households ......................... 60
Table 4.15 Residential Electricity Demand in Nairobi region .......................................................... 63
viii
LIST OF APPENDICES
Appendix 1 Electricity Demand (GWh) by Sector in Kenya ............................................................ 78
Appendix 2 Map showing KPLC Nairobi Region ............................................................................ 79
Appendix 3 Map of the Surveyed Urban Estates ............................................................................ 80
Appendix 4 List of Urban estates Surveyed .................................................................................... 81
Appendix 5 List of Rural Locations Surveyed .................................................................................. 81
Appendix 6 Standard Consumption for household appliances ....................................................... 82
Appendix 7 Average Annual Consumption for the Sample urban households – KPLC records . 84
Appendix 8 Average annual Consumption for the sample rural households - KPLC records ..... 88
Appendix 9 Calculated consumption of appliances – Urban .......................................................... 90
Appendix 10 Calculated Consumption of appliances - Rural.......................................................... 93
Appendix 11 Adjusted Specific consumption of appliances - Urban .............................................. 96
Appendix 12 Adjusted Specific consumption of appliances - Rural ............................................... 98
Appendix 13 Adjusted Consumption of appliances - Urban households .................................... 100
Appendix 14 Adjusted consumption of appliances - Rural households ....................................... 103
Appendix 15 Household appliances ownership and usage survey results.................................. 106
Appendix 16 Questionnaire for Household appliances ownership ............................................... 175
ix
NOTATION
Units
%
Percent
A
Ampere
GWh
Gigawatt-hour
h
hour
kV
Kilovolt
kVA
Kilovolt-ampere
kW
Kilowatt
kWh
Kilowatt-hour
m
metre
m/s
metres per second
MVA
Megavolt-Ampere
MW
megawatt
o
Degree Celsius
V
Volt
W
Watt
C
Abbreviations
AFD
French Development Agency
CFL
Compact Fluorescent Lamp
DSM
Demand Side Management
DVD
Digital Video Disk
ERC
Energy Regulatory Commission
Fig
Figure
x
GDC
Geothermal Development Company
GDP
Gross Domestic Product
GoK
Government of Kenya
Hi
High Income
HH
Household
ICT
Information Communication Technology
KEDSPHS
Kenya Energy Demand, Supply and Policy Strategy for Households, Small
Scale Industries and Service Establishments Survey
KenGen
Kenya Electricity Generating Company Ltd
KES
Kenya Shilling
KIHBS
Kenya Integrated Household Budget Survey
KIPPRA
The Kenya Institute for Public Policy Research and Analysis
KNBS
Kenya National Bureau of Statistics
KPLC
The Kenya Power and Lighting Company Ltd
LCPDP
Least Cost Power Development Plan
Li
Low Income
Mi
Middle Income
MoE
Ministry of Energy
No.
Number
REA
Rural Electrification Authority
UN
United Nations
Video
Video Cassette Player/ Recorder
xi
CHAPTER ONE
1.
INTRODUCTION
1.1
Background
Electricity penetration rate in Kenya is currently at about 29% and the number of
consumers connected to the power grid has grown rapidly in the recent past.
The
growth in demand for electricity has been significant over the last 5 years driven by a
combination of normal growth, increased connections in urban and rural areas as well
as the country’s goal to accelerate transformation into a rapidly industrializing middle
income country by the year 2030 as articulated in the Kenya Vision 2030 [2007].
The number of customers connected to the national grid increased by 19.8% from
1,463,639 in 2010 to 1,753,348 in 2011 as detailed in KPLC Annual Report [2011]. This
marks the highest percentage increase in customer connection ever and reflects the
accelerated efforts in increasing electricity access during the period. The increase in
customer connection is accounted for largely by the domestic customer category. The
sales for the industrial/commercial customer category increased marginally, to
3,401GWh in the year 2010/2011 from 3,153GWh in the year 2009/2010 representing a
3.17% increase in demand as in the KPLC Annual Report [2011]. In terms of customers
in this category, there was a marginal increase in connections from 2,728 customers in
2009/10 to 2,844 customers in 2010/11, an increase of 4.2%.
KPLC Annual report [2011] shows that total domestic consumption in urban areas
increased from 1,113GWh in 2007 to 1,424GWh in 2011. During the same period, the
number of urban customers rose from 681,060 to 1,444,061 representing a drastic
112% increase. Total domestic consumption in rural areas also revealed the same trend
where annual consumption rose from 221GWh in 2007 to 307GWh in 2011. The share
of rural domestic consumers to urban ones has also increased since 2008 from 15% to
18%.
1
The accelerated new connections are due to the deliberate efforts by the Government to
accelerate electrification in the country through various initiatives. Some of theinitiatives
include enhanced funding of the Rural Electrification Programme, new connections’
financing revolving fund (Stima loan) by KPLC aimed at availing credit to potential
customers who cannot afford to pay upfront the cost of new connections, transformer
maximization where customers within a distance of 600m from a distribution transformer
pay uniform connection charges. Line maximization initiative by KPLC whereby the
Company has created a reinforcement fund for the extension of MV lines and
installation of transformers within a reasonable distance to cover existing and potential
customers.
As per Sessional Paper No. 4, [2004] on energy, the Government plans to connect at
least 1 million customers from 2008 to the year 2012 and to increase electricity access
to 40%of the Kenyan population by 2020. The KPLC database of connected customers
shows that a majority of these connections are in the residential category. Kenya’s
economic blueprint, Vision 2030 envisages that the country will move from a low income
economy to a middle income economy by the year 2030 as outlined in Kenya Vision
2030, [2007]. Further, the new constitution has put in place a devolved system of
Government which will take development closer to the people through the county
system. Each county will require accelerated electricity connectivity to spur economic
growth and thus enormous energy resources will be required. The power distribution
utility in the country, KPLC has put in place mechanisms to serve the county
governments with electricity, by opening business branches in all the 47 counties. This
will ensure connectivity of even more customers in support of the achievement of Vision
2030 and the new constitution.
As shown in Figure 1.1, the total energy consumption increased from 3,628GWh in
2002 to 6,123GWh in 2011, representing a 69% increase over the period.
The
residential energy consumption increased from 954GWh in 2002 to 1,769GWh in 2011,
representing 85% increase over the period. The increased consumption is attributed to
increased economic activity that saw increase in industries and increase in the
commercial sector activities. Increased connectivity in the residential sector due to a
2
combination of enhanced rural electrification, and other energy sector policiesto enable
the Government meet the 40% connectivity by year 2020 as outlined in Sessional paper
No. 4, [2004] on energy. The trend in electricity consumption by each sector is shown
in Appendix 1.
Total electricity consumption and residential energy demand (GWh),
2002-2011
7000
6,123
6000
5,322
5,432
1,569
1,547
5,624
5,065
Demand (GWh)
5000
4000
3,628
3,802
4,379
4,090
4,580
3000
2000
954
1040
1173
1105
1,247
1,384
1,605
1,769
1000
0
2002
2003
2004
2005
Residential
2006
2007
2008
2009
2010
2011
Total Sales
Figure 1.1 Historical electricity sales to end users in Kenya
1.2 Electricity Demand in Kenya
The daily load profile as illustrated in Fig. 1.2 shows that the power system experiences
a peak between 18.30Hrs and 22.30hours daily due to increased demand from the
households during this period.The daily load curvesindicate that Nairobi region has the
highest demand compared to all the other regions, with the region having a daily
demand peak of about half that of the total National peak demand.
3
DAILY LOAD CURVES
1400.00
1200.00
1000.00
LOAD, MW
800.00
600.00
National Gen.
Demand
Nairobi Region
400.00
Coast Region
200.00
West Region
0.00
Mt. Kenya
Region
TIME OF DAY
Figure 1.2 Load Curves- 10th May 2011; Source NCC, KPLC
Overall, there is a strong electricity demand growth in Kenyaof about 5.3% per year.
The demand is being driven by a combination of factors, namely;economic
growth,enhanced rural electrificationarising from the Government’s commitment to
increase connectivity to 40% by the year 2020 as per Sessional Paper No.4 on Energy
[2004],and increased economic activities in a bid to move the country to a middle
income economy as envisaged in Vision 2030. This growth is expected to increase
resulting from the implementation of Vision 2030 flagship projects.
Figure 1.3 illustrates actual capacity availability and peak demand trend from 2004 to
2011. As illustrated, there has been a sustained annual increase in demand. The peak
demand has been met only due to inclusion of emergency power from 2006, without
which severe capacity shortages would have resulted.
Insufficient reserve margins
have resulted in load shedding whenever power outages are experienced. This clearly
illustrates the need for a sound forecasting model and adequate implementation of
planned projects to meet the growing demand as well as maintain optimum reserve
4
margins.
1400
1200
1000
MW
800
600
400
200
0
2004
2005
Available Capacity (MW)
2006
2007
2008
2009
Emergency Capacity
2010
2011
Peak Demand (MW)
Figure 1.3 Peak Demand and available capacity
Source: KPLC records
1.3 Planning for future electricity demand
Sound and realistic forecasting is the key to good planning in any industry.
In an
electric utility, demand forecasting is the level of electrical demand a utility can expect
from a specified number of consumers in a specified period of time as defined by Islam
and Alawi,[1996]. The importance of electrical demand forecasting is three fold:
generation expansion planning, transmission expansion planning and financial planning.
In addition, forecasting helps utilities to determine the system’s spinning reserve and
fuel requirement, and plan their unit maintenance scheduling. Electrical demand
forecasting of an electric supply system could either be load (MW) or energy (MWh)
from a specified category of customers connected to the system.
Electric Power utilities need to have accurate forecasts if they are to meet the future
power needs of their customers. A bloated electricity demand forecast leads to over5
investment, excess capacities and redundancies in the power system with significant
cost implications to consumers and the economy. On the other hand, a depressed load
forecast leads to under investment in the power system which causes serious security
and reliability of supply quality challenges. The accuracy of the forecast is therefore very
important in power system planning.
Kenya’s power generation, transmission and distribution system planning is undertaken
on the basis of a 20 year rolling Least Cost Power Development Plan (LCPDP) that is
updated every year. Electricity Demand Forecasting is a critical input in the LCPDP. A
team of professionals from KPLC, KenGen, Ketraco, REA and GDC under the
chairmanship of the Energy Regulatory Commission (ERC)prepares electricity forecasts
to be input in the development of the LCPDP.
Several methodologies have been used over time in electricity demand forecasting.
Initially, long term electricity demand forecasting was done using trend line analysis
whereby time series data of past demand for electricity was analyzed as a function of
time using a variety of techniques that ranged from simple graphing to sophisticated
mathematical curve fitting. The resulting trend was extended into the future, sometimes
expressed in terms of compound growth rates. Because this method implicitly assumed
that present growth patterns would remain essentially unchanged in the future, it was
often acceptable in stable socio-economic conditions that encourage electricity demand
to increase steadily over time. However, with time, as more factors came into play that
affect demand for electricity, other methodologies were adopted to provide more
accurate forecasts.
1.4 Problem Statement
Historically, the country’s LCPDPs have been based on electricity demand forecast
developed from a simple econometric analysis. This model uses historical relationships
between electricity demand, Gross Residential Product (GDP) and electricity prices to
project electricity demand for the future. However, a fundamental assumption of the
econometric model is that the relationships between income, price and demand
(coefficients) which existed in the past will continue to hold in the future. In addition, a
6
more fundamental structure of energy demand, which includes the population,
penetration of appliances, technological changes, fuel substitution and other factors is
not analyzed and the model’s predictive capability breaks down if any of the variables
change.Therefore, demand forecasting using the current econometric model does
not give accurate results and a better methodology is required which will take in
to account other variables that affect electricity demand.
The author is not aware of any study done in Kenya relating todeveloping a demand
model that takes to consideration demographic factors, social and economic factors,
and technological changes. A study done for the ERC by KIPPRA [2010], attempted to
review the electricity consumption patterns for the various consumer categories in the
country, but did not capture the urban –rural divide and the income class of the
households. Technological aspect of consumption was also not considered. A study on
Kenya’s Energy Demand, Supply and Policy Strategy for Households, Small Scale
Industries [KEDSPHS2002] came up with the penetration levels of end uses which
included lighting, entertainment, domestic cooking and water heating among others.
The study however did notanalyse the consumption by the various end uses to enable
estimation of the demand in households by the end uses.
This study will therefore analyse the energy demand in households across the urban –
rural divide and across different income levels and seek to develop a model for
electricity demand forecasting for the residential sector that will correlate the energy
demand to the corresponding social, economic, demographic and technological factors
that affect this demand in Nairobi region.
1.5 Objectives of the study
The general objective of the study is to interrogatethe econometric load forecasting
model currently used in Kenya for power planning and to develop a suitable model for
forecasting residential use of electrical energy in Kenya.
The specific objectivesare to;
7
i)
Carry out a household electrical energy survey in KPLC Nairobiregion.
ii)
Analysethe data to assess the current electricity consumption of households
in Nairobi region.
iii)
Develop a model for residential power consumption in Nairobi region.
iv)
Verify the model developed.
1.6 Organization of the report
ChapterOne discusses current power situation in the country and outlines the objectives
of the study. Chapter Two comprises literature review while Chapter Three discusses
the methodology used in this study. The results and analysis are presented in Chapter
Four while discussions are done in Chapter Five. Conclusions and recommendations
are presented in Chapter Six.
8
CHAPTER TWO
2.0
LITERATURE REVIEW
2.1
Electricity Demand and consumption in households
Electricity demand in Kenya has been growing rapidly over the last five years, with the
latest recorded demand values almost outpacing the projected demand. Theoretically,
electricity demand is a function of electricity price, number of electricity
appliances, consumer incomes, ambient temperature level and consumer load
patterns, which differ by regions, consumer groups and income levels. A reliable
load forecast methodology must “correctly” estimate the relationships between
electricity demand and these factors.
Household electricity demand depends on social economic factors, demographic
factors, geographical factors and technological structures. For accurate forecasts, a
forecasting model should take into consideration these variables and their relation to
demand. The use/ selection of the proper methodology and computer program for the
electric energy demand forecasting is an extremely important task.
Many studies world over have been carried out to establish the relationship between
electricity demand and other variables.
Astudyby Magambo [2010]on household
electricity demand and consumption patterns in a middle income residential estate in
Nairobi by established that weather and GDP have negligible effect on energy
consumption in the residential sector in the medium term. The study further established
that residential energy consumption is best determined using the end use engineering
models. However, the study was based on a small sample of households in a middle
income estate in Nairobi and did not cover residential users of electricity across all
income groups of customers and in different geographical locations. The study did not
consider the social-economic, demographic factors and location impacts on energy use.
In a study of household energy consumption and patterns in urban Ethiopia, Gamtessa
[2002] established that electricity is a substitute for other forms of energy and that its
9
adoption and usage increases with increase in household income and decreases with
increase in prices of electricity and substitute fuels. The consumption also increases
with household size.Houri and Korfali [2004] in a study of residential energy
consumption patterns in urban Lebanon showed that seasons and months have a
significant impact on energy consumption. Correlations were also indicated for energy
consumption with apartment area, income and number of residents. McNeil and
Letschert [2000] in a study of six countries demonstrated that increase in electrical
appliance ownership is a major driver for increased electricity consumption in
developing countries.
In the Government report for Well-Being in Kenya, KNBS [2008] the majority of poor
households have no access to electricity.
Among the rural poor, only 0.7% were
connected to electricity compared to 22.4% urban poor. Among the non-poor, 6.5% of
households in the rural areas are connected to electricity compared to 62.0% non-poor
in the urban areas. Fuel based (paraffin) lighting is the most preferred source of energy
for poor and non-poor in rural areas. Further, 0.1% of the poor use electricity as the
source of fuel for cooking and 1.7% non poor use electricity for cooking.
The report
further establishes that the expenditure for electricity for poor households was 5.2% of
the total expenditure compared to 20% expenditure on electricity for the non-poor.
A study on Kenya’s Energy Demand, Supply and Policy Strategy for Households, Small
Scale Industries and Service Establishments for the Ministry of Energy,(KEDSPHS
2002) established that at household level, electricity is used for lighting by 99%,
entertainment by 90%, ironing clothes 69%, refrigeration by 35%, water heating by 26%,
domestic cooking by 24%, home businesses by 16% and house heating by 9%. The
report further established that the national average household per capita consumption is
694kWh/ year, with rural areas using 544kWh/year and urban areas using 844kWh/
year. Higher income urban households consumed 1,354kWh/year and the low income
606kWh/ year. The middle income class in urban areas consumed 921kWh/year.The
KEDSPHS study was aimed at establishing connectivity, end use patterns, quantities
and costs. However, the data gathered only covered a single month’s electricity bill and
not the average consumption of a household over a period of time.
End use patterns,
10
the number of occupants, ownership of appliances and usage were not considered in
the study.
The Kenya Integrated Household Budget Survey by the GoK [2007] further established
that 51% of urban households use electricity for lighting, but only 1.8% use it for
cooking. In rural areas, 3.9% use electricity for lighting, but only 0.2% use it for cooking.
The survey did not categorize the usage of electricity among the various income groups
in the country based on geographical location.
A study done for ERC by KIPPRA [2010] on consumption patterns of energy in Kenya
established that the use and connectivity to electricity varied across regions. It further
established that the demand for cooking fuels such as wood, charcoal, kerosene, LPG
and electricity are driven by certain key factors and vary depending on whether the
house is located in rural or urban areas. From the study, the key determinants of choice
for use of electricity were employment level (income level), price of wood fuel and
education level. The KIPPRA report did not go further to analyze the existing end uses
in households and their contribution to energy demand.
2.2
Demand forecasting and Power planning
Electrical demand forecasting is classified into three main categories:
Short term,
Medium term and long term.
Short term forecasts predict load over a few hours ahead to a few weeks and covers a
time span of 1 year. They play an important role in the day-to-day operations of a utility
such as unit commitment, economic dispatch, hydro-thermal coordination, load
management, etc. A short term forecast is commonly referred to as an hourly load
forecast.
Medium term forecast covers a period of 1 to 5 years. They are required in planning
fuel procurement, scheduling unit maintenance, energy trading and revenue
assessment for utilities. A medium term forecast is referred to as monthly load and
energy forecast.
11
A long-term forecast predicts load from 5 – 25 years. This type of forecast is important
in deciding on the system generation and transmission expansion plans. Since the
generation capacity expansion requires huge resources and a long lead time, a longterm forecast is very important. A long term forecast is commonly known as an annual
peak load and energy forecast.
2.2
Methods of forecasting energy demand
Several models are used for electricity demand forecasting. These are broadly
categorized as time series/ time trend, econometric, engineering end-use, Hybrid and
Artificial Neural Network (ANN) models. The use of the models depend on the forecast
period required, the accuracy and the data available. Some of the forecasting methods
are discussed here below.
Time Series/ Trend method
In this model, a time series of past demand for electricity is analyzed as a function of
time, using a variety of techniques that range from simple graphing to sophisticated
mathematical curve fitting. The resulting trend is extended into the future, sometimes
expressed in terms of compound growth rates. Because this method implicitly assumes
that present growth patterns will remain essentially unchanged in the future, it is often
acceptable when stable socio-economic conditions encourage electricity demand to
increase steadily over time. Equation 2.1 illustrates a time series method, where the
variable to be predicted is expressed as a function of time
= + (2.1)
Where,
P = Electrical Demand
F = function
C = a Constant
12
The main disadvantage with this method is that it does not take into consideration
possible interactions of the variable with other factors. This method is only useful for
short term forecasts. Greer [2011] indicates that the time series model was used prior to
1970 in the US (during the oil crisis) where the annual growth in sales of electricity had
been averaging about 6% and many utilities simply forecast sales to grow at this level
indefinitely. However, with the sharp rise in energy prices in the 1970’s along with a
slowdown in economic activity, the model was not accurate enough and more
sophisticated techniques were sought.
Econometric methods
Tintner [1968], defines econometrics as the application of mathematical statistics to
economic data to lend empirical support to the models constructed by mathematical
economics and to obtain numerical results.
Econometric methods use aggregated data on GDP, tariffs, etc to predict load and have
a theoretical statistical base. Usually, they are used for a whole class of customers and
do not take into account the technological structure of their energy consumption.
Damodar [2004] illustrates that most common types of econometric models used in
energy studies are based on the Cobb-Douglas (CD) functional form as demonstrated
here below:
Theoretically, electricity is considered a normal good whose demand can be expressed
in the general form as a function of consumer income and electricity prices (tariffs) as
shown in Equation 2.2.
Ed = f ( y, p)
(2.2)
Where:
=
Energy Demand
=
Income
13
=
Price
The general form can then be expressed in a specific Cobb-Douglas (CD) functional
form given in Equation 2.3.
E d = ay α p − β
(2.3)
Where:
=
Constant
=
Income Elasticity of Demand
=
Price Elasticity of Demand
The Cobb-Douglas functional form can then be expressed as a log-linear formulation
and model parameter coefficients αandβ estimated using econometric tools.
log Ed = a + α log y − β log p
(2.4)
The estimated coefficients express the relationship between electricity demand and the
respective variable and this relationship is used to forecast electricity demand in the
future. It is expected that a positive relationship exists between electricity demand and
consumer income and a negative relationship between electricity demand and electricity
prices. The econometric model therefore utilizes historical time series data to
statistically estimate (by means of regression analysis) the constant and the coefficients
α, and β.
However, a fundamental assumption of the econometric models is that the relationships
between income, price and demand (coefficients) which existed in the past will continue
to hold in the future. There is also increasing evidence showing that the relationship
between energy, income and prices may vary in the future when important changes in
the technological structure of energy demand, consumer behavior are taking place. The
model does not consider that the lower income group is now able to afford cheap
14
appliances now available in the market, thus leading to more demand for electricity. The
econometric model therefore is no longer used by most utilities in the developed world.
In Kenya though, econometric models are used to produce long term energy forecasts.
End-Use methods
The end use method captures the impact of ownership and energy usage patterns of
various electrical appliances and systems. Energy demand for each activity is usually a
product of two factors; namely the level of activity (the energy service) and the energy
intensity (energy use per unit of activity).
According to Swisher et al [1987] energy analysis holds the mix of energy services and
activities. The level of activity depends on factors such as population, income and
economic output.
The level of energy intensity depends on the energy efficiency,
including both technological and operational aspects. A summation of the products of
these two factors over all activities gives the total energy demand as indicated in
equation 2.5.
= ∑
Q . I
(2.5)
Where:Q = Quantity of energy service i,
I = Intensity of energy use for energy service i
The quantity of energy services
depends
on several factors, including the population,
the share of the population using the end service, and the extent of use of each service
as shown in Equation 2.6.
= ! ∗ # ∗ $
(2.6)
Where,
15
= quantity of energy service i,
!
= number of customers eligible for end – use i,
#
=penetration (total units/ total customers) of end use i,
$
= magnitude or extent of use of end service i, e.g. number of hours of use,
degree -days, etc
End-use models have the difficulties of obtaining accurate data on appliances from the
Households.
Besides, most of the time, demographic data on households is not
regularly updated and this leads to inaccuracies in the forecasts. However, end-use
models are more accurate than econometric and time series models since in end-use
models, energy demand is broken down in to the various end-uses, penetration levels of
the various end uses, consideration of the different socio –economic groups is made,
demographic parameters and well as urban/ rural location of the households are also
taken in to consideration. Bhatacharyya [2011] explains that since the end use models
are able to capture new technological developments in energy usage, they have an
edge over other categories of models for energy demand.
The end use model was developed in the late 70’s after the oil shock due to the need
for accurate forecasts. Many countries, like France, Nordic Countries, Thailand and
somestates in the United States of America have used the end use model for analysis
of their electricity demand successfully.
However, end use models have difficulties
especially in obtaining data.
2.3
Background information on Power Planning in Kenya
The World Bank/ UNDP [1987) under the Energy Sector Management Assistance
Program (ESMAP) prepared the first load forecast in the country. This resulted in the
preparation of the Kenya National Power Development Master Plan 1986 – 2006. The
master plan covered among other things the Load forecast, which was then used as an
input in the Least Cost Power Development Plan for 20 years, from 1986 - 2006.
In
forecasting for power demand, econometric method was used where time series
16
analysis models used historical data from 1971-1986 on Sales and Tariffs obtained from
KPLC and GDP obtained from Central Bureau of Statistics (CBS) now Kenya National
Bureau of Statistics (KNBS). The forecasts covered various categories of customers;
namely the Residential and small commercial customers, Industrial and Commercial
Customers and off-peak customers covering the water heating loads. The overall load
forecast was obtained by summing up the various load forecasts obtained from the
different categories.
An update of the load forecast and consequently the Least Cost Power Development
Plan (LCPDP) was again done in 1991 and the mandate of updating the load forecast
annually thereafter was transferred to KPLC.
The same model has been used for
forecasting energy demand since then. With the unbundling of the energy sector, the
mandate of preparing the LCPDP now lies with the ERC with the input of all the energy
sector players, namely KPLC, KenGen, REA, Ketraco and the Geothermal
Development Company.
An econometric model has been used to prepare forecasts for the residential sector for
input in the current long term Least Cost Power Development Plan 2011 -2031, using
Equation 2.7.
6.78996
%&' $(ℎ = 17,780.49 ∗ 1.0414865' ∗ 34#5
∗ : ;6.8
(2.7)
Where,
%&' $(ℎ= Projected energy demand for year t
<
= forecast year
34#5
= Non- agricultural Gross Domestic Product
:
= Moving Average Residential Tariff
0.62880
= Non-Agricultural GDP Growth elasticity
0.20
= Residential sector moving average tariff coefficient of elasticity
17
Similar econometric models are used for the Commercial/ Industrial, off-peak and rural
electrification energy demand forecasts.
This method of determining the energy demand ignores the individual loads that make
up that overall demand in the residential sector, the penetration levels of end uses and
assumes that the factors that affected power demand in the past will continue to affect
power demand the same way within the forecasting period. The method also ignores
any technological changes that might occur due to policy changes and does not directly
include new load due to increased connectivity. For example, the predicted demand
differs considerably from the actual demand for the years 2003-2011 using the
econometric models as shown in Figure 2.1.
Actual and Predicted Energy Demand (GWh) in Kenya (2003-2011)
9,000
8,000
Energy Demand (GWh)
7,000
6,000
5,556
5,000
5,809
5,035
Predicted Demand (Ep) = 326.1t + 5191.
7,734
R² = 0.992
7,391
7,185
6,962
6,521
6,692
6,064
6,489
6,385
6,169
5,697
Actual Demand (Ed) = 302.5t + 4472.
5,347
R² = 0.980
8,175
7,303
4,750
4,000
3,000
2,000
1,000
0
2003
2004
2005
2006
2007
Predicted energy demand (GWh)
Linear (Predicted energy demand (GWh) )
2008
2009
2010
2011
Actual energy demand (GWh)
Linear (Actual energy demand (GWh))
Figure 2.1 Actual and Predicted Energy demand (GWh) in Kenya
Source:LCPDP 2008
18
Predicted and actual energy demand is given by Equation 2.8 using a linear model as
follows:
> = 326.1< + 5,191
(2.8)
and
= 302.5< + 4,472
(2.9)
Where;
>
= Predicted demand
= Actual demand
<
= year
Figure 2.1 shows that the growth pattern between the actual and the predicted demand
is almost consistent. Based on Equation 2.8 and Equation 2.9, the actual demand is
over forecasted by an average of 837GWh. From the model, the forecasted demand
can be represented in Equation 2.10 as follows:
> = @< + A
(2.10)
Where;
A is a variable which is time dependent and
C is a constant and t is the forecast year.
The demand forecast deviates from the actual demand by about -15% using the
econometric model. The difference between the forecasted demand and the actual
demand is quite substantial and this shows that the econometric model used is poor.
Further, the usual practice by the planning/ design engineers is that specific residential
demand is usually determined from customer applications for power supply at the time
19
of application for new supply. Loads are never listed in this case; instead the number of
lighting points and number of socket outlets are listed to estimate the demand.
For
normal households with ordinary loads, the minimum demand is assumed to be 3kVA
after applying a diversity factor referred to as After Diversity Maximum Demand (ADMD)
of 80% for residential loads. This factor is applied due to assumption that not all the
loads contributing to the maximum demand are on at the same instant.
After
connection, no survey/ inspection is carried out to establish the actual loads connected
by the customer and this leads to under/ overestimates of the demand. In real life
situation, some residential loads are rated as high as 7.5kW (e.g. instant showers) and
providing for a demand of 3kVA is grossly an underestimate.
It is therefore necessary that a survey is done to establish the actual specific residential
loads that make up the residential power and energy demand to facilitate accurate
forecasts of the energy demand in the residential sector. The survey results will further
assist the country to determine and plan on which Demand Side Programmes to
implement in the residential sector.
20
CHAPTER THREE
3.0
METHODOLOGY
In this chapter, the methods and procedures used in sampling, data gathering and
analysis are described.
3.1
General Approach
The study utilized both primary and secondary data for analyzing and developing the
model. Primary data was obtained from household survey field work using personal
interviews, billing records and observations for household appliances.
Secondary data on the other hand was obtained from official statistical publications
including Statistical Abstracts, Economic Survey, Census reports, the Kenya Power and
Lighting Company Limited Annual Reports and statistics from the KPLC customer
database, and other energy publications.
The study was based on KPLCdefined Nairobi region in both urban and rural
geographical locations as the domains of estimation. Kenya’s administrative boundaries
were overlaid on to the KPLC Regions since the study used the household distribution
as given in the KNBS [2010] census results. The districts corresponding to KPLC
Nairobi region were sampled for the study.
3.2
Sampling
3.2.1 Selection of samples
The study selected household samples within Nairobi region already connected to the
electrical grid. Convenience sampling method was used to choose samples, where
households were selected for the survey. The study classified various respondents in
Nairobi Region according to their geographical location, urban and rural for collection of
appliances data.
21
3.3
Determining the Sample Size
The correct sample size was determined based on guidelines by the United Nations
(UN) Guidelineson household surveys UN [2005]. The sample size required for the
household survey was determined according to Equation 3.1.
B = C 8 ∗ ∗ 1 − ∗ E ∗ F/ ∗ H ∗ 8 (3.1)
Where;
B
= number households (sample size)
C
= statistic that defines the level of confidence
= estimate of a key indicator to be measured by the survey
E
= sampling design effect
F
= multiplier to account for the anticipated rate of non-response
= proportion of total population accounted for by the target
population
and upon which the parameter, , is based;
H
= average household size (no. of persons per household)
= margin of error to be attained
As per the UN guidelines, the recommended values for some of the parameters
to be used in developing countrieswhere the actual values are not available are
as follows:
C =1.96, defines the level of confidence as 95%; E =2; F =10%; H =5.1 in Kenya
based on KIHBS, [2005/6] and the recommended value of =0.15.
Substituting the above gives:B = 73.5 ∗ 1 − / ∗ (3.2)
22
= 0.28 (proportion of power consumption for the residential sector in
Nairobi to the total power consumption in Nairobi=
28% as per
KPLC statistics as detailed in the KPLC Annual report [2011].
= 0.52(the proportion of the connected households in Nairobi region
to the total number of households in the region, based on KNBS,
Kenya Population and Housing Census report Volume II [2010].
Substituting the above values to the formula in equation (2.10) will gives a sample size
of 360 households.
3.4
Sample design
360 questionnaires were sent out to 360 households.
responsive and 9 were non- responsive.
Out of those, 351 were
Nine (9) households declined to provide
information to the researcher and were therefore left out of the study.KPLC Nairobi
Region covers both Urban and Rural geographical locations. Nairobi region is further
divided into 3 sub regions, namely Nairobi North, Nairobi South and Nairobi West. The
households surveyed were stratified into 2 heterogeneous strata, based on
geographical location - urban and rural within Nairobi region. Population and housing
census data from the Kenya National Bureau of Statistics [2010] was used to classify all
the geographic administrative units within Nairobi region into urban or rural, thus
allowing the target population to be stratified by this criterion.
The study used a combination of survey (for primary data) and non survey (for
secondary data). A sample size of 360 households has been calculated as shown in
Section 3.3, but the survey results cover 351 households who responded to the study.
The survey was carried out in all the three sub-regions within Nairobi region to enable
proper representation of samples i.e. Nairobi West, Nairobi North and Nairobi South.
Convenience sampling technique was used. The sample size was 236 Households in
the urban location and 96Households in the rural locations.
23
The survey covered Nairobi region shown on the map as Appendix 2 and 3. Twenty
estates within Nairobi urban areas were selected and eight sub-locations in the rural
area.The study areas were selected to represent the three social economic classes of
the households, the High Income, Medium Income and Low Income.
The selection
was done from across Nairobi to represent the three sub-regions as per KPLC
administrative boundaries.The urban estates sampled for the study are attached as
Appendix 4 and the rural areas sampled are attached as Appendix 5. The study omitted
the off – grid areas due to logistical difficulties of carrying of the survey. The off grid
areas form part of Nairobi region and are supplied by generation using diesel or wind
and solar that is not connected to the grid.
3.5
Classification of households
The study classified the 351 sampled respondents in Nairobi Region for collection of
electrical appliances data. The respondents (households) were classified according to
their geographical location, urban and rural. The classification into either rural or urban
was done as per the definition of the 2009 Kenya Population and Housing report [2010].
An urban area in the report is defined as an area with an increased density of human
created structures in comparison to the areas surrounding it and has a population of
2,000 and above as indicated in KNBS [2010]. These include Cities, Municipalities,
Town Councils and Urban Councils. A rural area is defined as large isolated areas of
open country (in relation to open fields and not forests, etc), often with low population
density as indicated KNBS [2010].
3.6
Electrical Energy Household survey
A household electrical energy survey was undertaken for the sampled households. The
survey involved collecting data on existing electrical appliances in a household.
Observations as well as personal interviews were used in the study. A questionnaire
was designed to collect the following data among others:
•
Electrical appliances existing in the household; name, type, number of
each appliance type in the household and power rating where possible.
24
•
Numbers of hours each of the appliances are used in the household,
•
Alternative forms of energy used in the households if any.
•
KPLC electricity account number and meter number.
The questionnaire used for the survey is attached as Appendix16.
3.7
Assessment of income level of a given household
After classification of the samples in to either urban and rural, the households were
further classified as either low income (Li), medium Income (Mi) and High Income (Hi).
Thus the study covered six (6) categories of electricity users, i.e. Li_Urban,
Mi_Urban,Hi_Urbanand Li_Rural, Mi_Rural, Hi_Rural.
The Economic Survey [2010] classifies households in to income groups by expenditure
per month in Nairobi as follows: households spending below KES 23,000 are classified
as low income (LI); households earning between KES 23,001 and KES 125,000/= as
middle income and above KES 125,000/= as high income.
To categorize the
customers in to the various income categories, the researcher inquired about the
income of the householdduring the survey. The statement of the respondent was then
recorded.
This statement was however found to be unreliable, and most of the
respondents were not willing to divulge information about their income. This
development presented a draw back to the study and the author had to find another
method of classifying the households.
Another indicator was then chosen, the yearly average electricity consumption of the
households, according to KPLC bills.
On average, and as many studies show,
electricity consumption is proportional to the income level. For each household, the
meter number was recorded during the survey and the last 12 monthly bills for each
account were obtained from KPLC. On the basis of this yearly consumption, the
household was categorized into one of the 3income groups in the urban and rural
areas.The categories of income groups were only identified according to the amount of
yearly electricity consumption.
25
The classification was done according to the annual electricity consumption as per
Table 3.1.
Table 3.1 Categorization of the sample
Urban Sample
Consumption Range
Category
(kWh)
Rural Sample
Consumption Range Category
(kWh)
>3,000
1,000 ≥3,000
High Income
Middle Income
>1,000
500 ≥ 1,000
High Income
Middle Income
<1000
Low Income
< 500
Lo Income
The classification was therefore not linked to a direct assessment of the monetary
income available to the household since this information was not readily available.
3.8
Data Processing
The data gathered using the questionnaire from the households was coded in an excel
spreadsheet and programmed to capture the energy consumption of the various
appliances and to categorise the households in to the socio economic classes.
Appendix gives the data coded in excel worksheets for analysis. For each household,
data on electricity consumption for a year was obtained from KPLC database. The raw
data from KPLC was analysed to determine its validity based on the appliances
available in the house and usage.
In this report, the households are represented by questionnaire numbers, from number
1 to 351.
The KPLC data was checked for zero or near zero consumption and
unreasonably high consumptionover the period. Those houses with an average of zero
consumption were omitted from the analysis and those with an unreasonably high
consumption which donot match the available appliances were also omitted from the
study.
Appliances that could exist in a household were listed in advance and their standard
consumptions were used. The information collected was the ownership of appliances,
the number of appliances and usage (whether a particular appliance was in use or not).
Where a particular appliance was not in use, ownership was considered as zero. Due
to the intrusive nature of the survey, respondents were reluctant to let the interviewee
26
take the power ratings. Therefore, possible appliances that could exist in a household
were identified prior to the survey and a standard consumption per appliance per year
was used. The Standard Consumption of appliances used was based on a Report on
Household Pilot Survey done for the Ministry of Energy by the AFD [2011].The Standard
Consumption data for appliances is attached as Appendix6in this report. The standard
consumption of all the appliances had been arrived at by the product of average power
rating of the appliance and the hours of use of the appliance per year.
For example, the standard consumption of a built in oven was calculated as follows:
%<IIJKL<MKNM&<MKO = 2000P<< ∗ 3ℎ/LK<ℎ ∗ 12LK<ℎ
= 72F(ℎ
The standard consumption for the DVD player was calculated as follows:
%<IIAKL<MK4Q4 = 40P<< ∗ 2.5ℎ/I ∗ 365I/ = 35F(ℎ.
Statistical data from KPLC annual reports, Kenya Population and Census reports, vision
2030 document, economic survey and other publications were used to gather
information on the number of connected customers in areas corresponding to KPLC
Nairobi region, population data, connectivity rate, income categorisation among other
details.
3.9
Data Analysis
The Data analysis was carried out using statistical functions in excel worksheet. The
data obtained from the household electrical energy survey was analysed to establish the
average energy consumption for each of the 3income categories of the households in
the urban and rural locations. Data for electricity consumptionfor the last 1 year for each
of the households was obtained from KPLC for classification of the customers in to
income categories in the urban and rural areas.
The penetration (% access level) of each appliance in an income class was computed
from the data collected for both urban and rural samples. The percentage penetration
27
level of a particular appliance (e.g. TV) was obtained by dividing the total number of
appliances by the number of households in the sample and multiplying by 100. The
penetration level was used to compute the consumption for each appliancein each of the
income classes. The consumption of a particular appliance was obtained by multiplying
the standard consumption with the penetration level for the appliance as shown in
Equation 3.3.
5 = ∗ %
(3.3)
Where,
5 = Consumption per appliance in kWh
= Penetration level of the appliance %
%= Standard Consumption of the appliance in kWh
The Total consumption per household in an income class was then given by summing
the consumption of all the appliances as Equation 3.4 shows.
= ∑ 5
(3.4)
Where,
= CalculatedConsumption per income group
5 = Consumption per appliance
= number of appliances
The sum of the calculated consumption in each income class was then adjusted to the
actual consumption from KPLC data using an adjustment factor for each income class.
The adjustment was done for the purpose of taking care of different usage levels of
appliances among the income groups as well the existing different power rating of
appliances since Standard Consumptions of appliances were been used.
The
adjustment factor was obtained by division of the average KPLC consumption for the
28
income category within the sample and the calculated consumption as given in Equation
3.5.
= A/
(3.5)
Where;
= the adjustment factor
A = Actual average yearly KPLC Consumption per income group
= Calculated Consumption yearly of the income group.
The adjustment factor for each income class for Urban and Rural households was then
used to calculate the adjusted specific consumption for each appliance as shown in
Equation 3.6.
%5 = % ∗ (3.6)
Where;
%5 = Adjusted specific Consumption per appliance for income group M
%= Standard Specific Consumption
= Adjustment factor
The specific consumption was then used to calculate the actual consumption per
appliance in each income group.
3.10
Clustering Appliances in to End-uses
Appliances with similar applications wereclustered together to form end usesfor ease
ofenergy analysis. Once all the end uses were determined, the total residential energy
demand was computed based on the formula by Swisher et al [1997] shown as
Equation 3.3 and Equation 3.4,as the sum of the energy demanded by residential end
29
use services such as lighting, cooling, refrigeration, entertainment, grooming, water
heating, etc.
ES = ∑
ES
(3.7)
Where;
ES = residential energy use
i= end-use
= number of end uses
Energy Consumption in each end use will be defined by the following equation:
ES = N ∗ P ∗ SC
(3.8)
Where,
ES =Residential energy consumption for end use i,
N =The total number of households
P = the penetration levels of appliances for end use i,
SC = Specific Consumption for end use i = sum of the adjusted specific
consumptions for all the appliances in end use i.
As the residential energy service requirements vary across income groups, the Energy
consumption using equation 3.8 was calculated for each income group.
The total
residential energy demand was therefore computed by adding all the energy
requirements for each of the urban and rural strata and for the income classes.
The total energy consumption for each income group was obtained by multiplying the
specific consumption with the number of connected households in that income group.
30
The total residential energy consumption in the region was obtained by summing up the
energy consumption of the various income groups in the urban and rural areas.
Regression method was used to establish patterns, trends and causal relationships
between energy consumption and the independent variables such as socio-economic
class, connectivity rate, population growth andtechnological
changes (energy
efficiency).
31
CHAPTERFOUR
4
RESULTS
4.1
Appliances Data
The end use primary data collected for all the 351sampled households during the
survey was coded in an excel worksheet for analysis.The data is presented as Appendix
15.
4.2
Analysis of the KPLC Bills
Electricity bills for the sampled households obtained from KPLC for last 12 months from
March 2011 to February 2012were analyzedforthe average annual consumption per
household for both urban and rural samples. The consumption data was checked for
unrealistic consumptionthat does not compare with the existing appliances and usage,
i.e. zero or near zero consumption and extremely high consumption. 19 households
were excluded from the study because the data was found to be erroneous leaving a
total sample of 332 households for this study, 236 urban households and 96 rural
Households.The erroneous data may be due to billing errors or due to faulty metering
equipment.
The annual electricity consumption for the sampled households is
presented as Appendix 7 and Appendix 8 for both urban and rural locationsrespectively.
4.3
Distribution of Surveyed Households according to average annual
electricity consumption
Electricity consumption data for the urban sample in Appendix 8was presented in form
of a chart to show the consumption pattern among the households. The distribution of
consumption among the sampled households is given in Figure 4.1.
The distribution pattern in Figure 4.1 shows that 52% of urban households consume up
to 1,000kWh/ year, 32% consume from 1,000 - 3,000kWh/ year and 16% consume
above 3,000kWh per year. An exponential curve was fitted in to the chart and an
equation relating the consumption and the % of households was obtained. The formula
32
for the curve is given as polynomial Equation 4.1 with an R2 value of 0.938, which is the
best fit for the curve.
EY = 104.5 6.6ZB
(4.1)
Where;
EY = consumption
ℎ =% households,Pℎℎ > 0
Equation 4.1 can be used to estimate the annual consumption of a certain percentage
of households in the urban areas and vice versa.
The data for electricity consumption in Appendix 8 was presented in a bar chart to show
the consumption pattern in the rural sample. The distribution of consumption is shown
as Figure 4.2.
Figure 4.2 shows that 55% of the rural households have a yearly consumption of ≤
500kWh, 25% with a yearly consumption of 500-1,000kWh and 20% of rural households
have a yearly consumption of > 1,000kWh. An exponential curve was fitted in the chart
to show the relationship between the consumption and the % of the households. The
formula that relates the two parameters is given as Equation 4.2.
EY = 61.970.037ℎ
(4.2)
Where;
EY = Annual Consumption
ℎ = %ofhouseholds,whereh > 0
Equation 4.2 can be used to estimate the total annual consumption of a certain
percentage of households in the rural areas and vice versa. Comparing the urban and
the rural sample, it is evident that in the urban areas, more households have
consumption higher than 1000kWh compared to the rural areas. This is considered
reasonable since consumption levels are considered to be higher in the urban areas
than in the rural areas due to higher income levels and more appliances in the urban
areas.
33
Ec = 104.5e0.017h
R² = 0.938
0%
3%
6%
8%
11%
13%
16%
18%
21%
23%
26%
28%
31%
33%
36%
39%
41%
44%
46%
49%
51%
54%
56%
59%
61%
64%
67%
69%
72%
74%
77%
79%
82%
84%
87%
89%
92%
94%
97%
100%
Annual Electricity Consumption, Ec (Hundred kWh)
150
145
140
135
130
125
120
115
110
105
100
95
90
85
80
75
70
65
60
55
50
45
40
35
30
25
20
15
10
5
0
% of Households (h)
Figure 4.1 Distribution of annual consumption for the urban sample
34
4,200
4,000
3,800
3,600
3,400
Annual Consumption, Ec (kWh)
3,200
3,000
2,800
2,600
2,400
Ec = 61.97e0.037h
R² = 0.943
2,200
2,000
1,800
1,600
1,400
1,200
1,000
800
600
400
200
1%
3%
5%
7%
9%
11%
14%
16%
18%
20%
22%
24%
26%
28%
30%
32%
34%
36%
39%
41%
43%
45%
47%
49%
51%
53%
55%
57%
59%
61%
64%
66%
68%
70%
72%
74%
76%
78%
80%
82%
84%
86%
89%
91%
93%
95%
97%
99%
0
% of Households
Figure4.2 Distribution of annual consumption for the rural sample
35
4.4
Power Consumption Characteristics
4.4.1 Mean Consumption
The Mean Consumption, g
h for the households is given by equation by equation 4.3.
g
h = 1/ ∑ g
(4.3)
Where; is the number of households and g is the consumption per household.
From the survey data, the urban sample has 236 households and the total annual
consumption for all the sampled urban households∑ g is 397,827 kWh and is 236.
Substituting these values in equation 4.3, a mean consumption of 1,686 kWh was
arrived at for the urban households. The rural sample has 96 households and the total
annual consumption is 59,824 kWh, giving a mean consumption for the rural
households as623 kWh.The mean consumption for the urban and rural sample
combined was1,378 kWh for Nairobi region.
The global mean residential consumption from KPLC annual report for year 2010/2011
was1,148kWh, which is lower than the calculated mean consumptionfor Nairobi region.
This is understandable since consumption in Nairobi is likely to be higher than
consumption for the rest of the country due to higher income levels in Nairobi.
4.4.2
Sample Standard Deviation
Standard deviation"",for a sample is given by equation 4.4;
= j1/ − 1 ∑g − g
h 2
(4.4)
Substituting the values of , g , Ig
h in equation 4.4 gave the standard deviation of
consumption for the sampled households as 2, 230kWh and 655kWh for the urban and
rural households respectively. These values indicate that that consumption amongst the
households is spread out over a wide range of values.
4.5
Categorizing the surveyed households into income levels
As stated earlier, it was not possible to obtain either the actual income or the
expenditure data for all the surveyed areas and therefore another method of classifying
36
the households was used. It was considered that electricity consumption is dependent
on income and so the average annual electricity consumption was used to categorize
the households in to income groups, i.e. Low Income, Medium income and High income
for the rural and urban based households.
Using the electricity consumption of urban households in Appendix 8, the urban
households were classified in to low income, Middle Income and High Income. The
Consumption range was used to group households as shown in Table 4.1.
Table 4.1 Categorization of Urban sample
Consumption Group
No. of
Households
<1000kWh
1000 ≥ 3000kWh
>3000kWh
Total
123
75
38
236
Percentage of Households
52%
32%
16%
100%
Average
Consumption per
Household (kWh)
451
1,642
5,767
Table 4.1 shows that 123 households representing 52% of the urban sample consume
below 1,000kWh having an average consumption of 451kWh, while 75 households
representing 32% consume between 1,000 – 3,000kWh with an average consumption
of 1,642kWh and 38 households representing 16% of households consume above
3,000kWh per year having an average consumption of 5,767 kWh. These three groups
of consumption were designated as Low Income, Middle Income and High Income
respectively in this study.
For categorizing the rural households into the various consumption groups, electricity
consumption data for the rural households in Appendix 9 was analyzed to group the
households into income levels as shown in Table 4.2.
From Table 4.2, 53 households representing 55% of the sample consume up to
500kWh having an average consumption of 218kWh, 25% of households comprising 24
households with an average consumption 733kWh and 19 households representing
20% of households consume above 1,000kWh with an average consumption 1,634kWh.
37
As in the urban sample, the groups were designated as Low Income, Middle Income
and High Income respectively in this study.
Table 4.2 Categorization of Rural Sample
Consumption Group
< 500kWh
500≥ 1000kWh
>1000kWh
Total
4.6
No. of
Households
Percentage of Households
53
24
19
96
Average Consumption
per household (kWh)
218
733
1634
55%
25%
20%
100%
Penetration Level of appliances per income level
The primary data collected during the survey was analyzed for penetration levels
(access) and ownership and usage of appliances for the various end uses for the
income categories classified in Section 4.5.
The penetration level of each of the
appliances was obtained by dividing the total number of appliances found in the
sampled households by the number of households and multiplied by 100.
Table
4.3shows the % access of appliancesamong the various income classes in bothurban
and rural areas in Nairobi region from the analysis of the data from the survey.
Table 4.3 Penetration (% access levels) of Household appliances in Nairobi region
Appliance
Air conditioning system
Fan
Dishwasher (cycle)
Washing Machine(cycle)
Built in oven
Deep fryer
Electric Cooker
Extractor hood
Microwave oven
Rice cooker
Computer (CPU)
Computer monitor
Urban HI
5%
17%
12%
49%
29%
25%
61%
5%
85%
29%
56%
54%
Urban MI
1%
13%
0%
2%
3%
5%
9%
1%
33%
6%
20%
21%
Urban LI
Rural HI
% Access Levels (penetration)
0%
0%
3%
6%
0%
0%
0%
3%
0%
3%
0%
3%
0%
16%
0%
0%
0%
9%
0%
0%
0%
0%
3%
6%
Rural MI
Rural LI
0%
0%
0%
0%
0%
0%
0%
0%
9%
0%
0%
9%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
38
Appliance
Computer Printer
Computer Scanner
DVD Player
Home Theater System
House telephone
Laptop
Mobile charger(s)
Satellite Decoder
Stereo
Television set
TV Set –top box
VCD Player
VCR Player
Video Game Console
Gym Equipment
Jacuzzi - spa
Sauna or steam
Swimming pool
Electric shaver
Hair dryers
Vacuum cleaner
Fan heaters
Iron Box
Lighting HI
Lighting MI
Lighting LI
Rechargeable torch
freezer large
freezer medium
freezer small
Refrigerator large
Refrigerator medium
Refrigerator small
Geyser heater
Immersion heater
Instant shower heater
Blender/Juicer
Bread Toaster
Coffee maker
Urban HI
Urban MI
Urban LI
Rural HI
Rural MI
Rural LI
42%
29%
85%
29%
27%
86%
100%
58%
54%
98%
3%
27%
19%
0%
7%
2%
3%
9%
4%
79%
32%
4%
35%
100%
11%
45%
93%
9%
17%
8%
0%
1%
0%
0%
0%
0%
65%
16%
0%
0%
100%
0%
48%
90%
0%
6%
3%
0%
0%
0%
0%
0%
0%
63%
3%
6%
9%
100%
16%
38%
78%
3%
6%
0%
0%
0%
0%
0%
4%
0%
63%
2%
6%
6%
100%
13%
50%
83%
6%
11%
4%
0%
0%
0%
0%
0%
0%
0%
6%
0%
0%
100%
0%
31%
19%
0%
0%
0%
0%
0%
0%
0%
12%
32%
34%
36%
15%
98%
0%
9%
8%
3%
2%
96%
0%
3%
3%
0%
0%
84%
0%
0%
6%
0%
0%
59%
0%
4%
2%
0%
0%
70%
0%
0%
0%
0%
0%
19%
100%
0%
0%
49%
19%
20%
8%
58%
47%
5%
44%
14%
69%
80%
66%
29%
0%
100%
0%
31%
1%
8%
2%
18%
36%
7%
3%
20%
38%
28%
25%
3%
0%
0%
100%
29%
0%
0%
0%
0%
6%
6%
0%
16%
0%
6%
0%
0%
100%
0%
0%
56%
0%
0%
3%
3%
25%
6%
0%
6%
9%
19%
6%
0%
0%
100%
0%
41%
2%
2%
0%
6%
19%
4%
0%
13%
0%
7%
2%
0%
0%
0%
100%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
39
Appliance
Electric kettle
Water dispenser
Water booster pump(s)
Urban HI
Urban MI
Urban LI
Rural HI
Rural MI
Rural LI
73%
44%
46%
23%
13%
7%
6%
0%
0%
6%
3%
6%
4%
0%
0%
0%
0%
0%
From the data, it can be observed that as the income level increases, the number of
existing appliances also increases in both urban and rural households.
4.6.1 Penetration level of appliances in Nairobi Region - Urban
The appliances penetration data for Nairobi urban area in Table 4.3 is presented in
chart form and is shown in Figure 4.3. From Figure 4.3, penetration level of appliances
in high income group in urban areas is higher than all the other categories for all the
appliances. Mobile chargers and lighting have a penetration rate of 100% in the three
income groups. All the appliances exist in the High Income group except for the video
game console which was not found in all the sampled households. In the High income
group, Television sets, Iron Box, laptops, microwave oven and DVD player have a
penetration level of over 80%. Access levels of appliances such as the small freezer,
gym equipment, Air Conditioning system sauna or steam bath and Jacuzzi is below
10% in the income group.
In the Middle Income group, the access rate of television sets and iron Box is high at
more than 90%.
In this group, almost half of appliances have an access rate above
10%, while about 12 of the appliances have an access rate of above 30%. Dishwasher,
Swimming pool, Sauna/ steam bath, Jacuzzi and Video game console do not exist in
any of the sampled households in this income group.In the Low Income group, only 19
appliances exist in the households,representing less than half of all the possible
appliances.
40
% Access level of appliances in Nairobi Region - Urban
100%
90%
% Access Level of appliances
80%
70%
60%
50%
40%
30%
20%
10%
0%
Urban HI
Urban MI
Urban LI
Figure4.3Penetration ofappliances in Nairobi Region – Urban Households
41
4.6.2 Penetration level of appliances in Nairobi Region - Rural
The data for penetration level in the rural areas was presented in a chart as shown in
Figure4.4. The figure shows that mobile chargers and lighting have reached saturation
levels of 100% for all the income groups in the rural connected households, just like in
the urbanconnected households.
In the high income group, Television set, DVD player, iron box and rechargeable torch
have a penetration rates of over 50%. Stereo, refrigerator medium, blender/ juicer,
electric cooker and satellite decoder have penetration rates of 38%, 25%, 19%, 16%
and 16% respectively. The rest of the appliances do not exist in this income group.
Among the Middle Income group, Television set, iron box, DVD player and stereo have
penetration rate of over 50%. Other appliances have a penetration of between 2% 41% with about half of the appliances not existing in this income group.
In the Low
Income group, there are only six appliances that exist with mobile chargers and lighting
at 100% penetration rate, stereo at 31%, television set at 19%, iron box at 19% and
home theatre system at only 6% penetration rate. The rest of the appliances (about
90% of the total number of appliances) do not exist in this income group.
42
% Level of appliances in Nairobi Region - Rural
100%
90%
% Access Levels (Penetration)
80%
70%
60%
50%
40%
30%
20%
10%
0%
Rural HI
Rural MI
Rural LI
Figure4.4 % Access levels of appliances in Nairobi Rural
43
4.7
Mathematical Calculation (Specific Consumption)of consumption per
appliance
The mathematical calculation of consumption of appliances using the penetration level
and the rating of each of the appliances (specific consumption) was computed using
Equation 3.3.
Specific Consumption,
5 , of an appliance is given in Equation 3.3 as
5 = ∗ %
Where,
%= the Standard consumption of each appliance
= the penetration rate of the appliance in that category
For example; the Specific Consumption for the iron box was calculated as follows:
The Standard Consumption% for the iron box is 195kWh per year and its penetration
rate in the high income urban households is 98%.
Substituting the values in equation 3.3, the specific Consumption per year, 5 for the
iron box in the high income urban households is therefore
195kWh * 98.3% = 191.7kWh.
Values used for % are found in Appendix 6 and values used for are in Table 4.3.
5 for each appliance is calculated for each income group and the results are given as
Appendix 9 and Appendix 10 for the urban and rural samples respectively.
The calculated consumption per income group is obtained by the sum of the
consumption of all the appliances in the income group given in Equation 3.4.
5 = ∑1 5
44
Where;
5 = Calculated consumption for the Income group
5 = Consumption of each appliance in the income group
=Number of appliances
Three values are calculated,
5B , 5k and 5l representing calculated consumption for
the high income, middle income and low income three income groups respectively in the
urban and rural areasusing Equation 3.4and are shown in Appendix 9 and Appendix 10
respectively.The global average calculated consumptions for the three income groups in
the urban areas are presented in Table 4.4 and Table 4.5.
Table 4.4 Mathematical Calculation of Consumption - Urban Sample
Hi_Urban
Mathematical
Calculation of
consumption (
m ) kWh
5B = 4347
Mi_Urban
5k = 1721
Li_Urban
5l = 642
Table 4.5 Mathematical Calculation of Consumption - Rural sample
Hi_Rural
Mathematical
Calculation of
consumption (
m ) kWh
5B = 1535
Mi_Rural
5k = 913
Li_Rural
5l = 241
The calculated consumption for the income groups shown in Table 4.4 and Table 4.5
differ slightly from the actual average consumption from KPLC bills. This deviation is
reasonable since the data used for the yearly consumption of appliances (Standard
Consumption) is not the actual value, but average values. The actual consumption of
appliances in different income groups in urban and rural areas differs in terms of usage
time and the actual rating of the appliance used amongst the households.
45
Due to the difference in the calculated consumption and the actual consumption from
KPLC records, it was necessary to adjust the calculated consumption to match the
actual consumption.
This was done to enable the author to adjust the Standard
Consumption of each appliance according to the income group and get a more accurate
consumption per appliance and consequently end use consumption.
4.8
Adjustment of calculated consumptionsto actual consumptions
In order to match the calculated consumption with the actual average consumption of
the sample, an adjustment to the mathematical calculation was done using an
adjustment factor. The mathematical calculation of consumptionwas adjusted according
to the average yearly consumptions of the income group from KPLC bills. The ratio
between the actual average consumption of the income group from KPLC bills and the
mathematical calculation of consumption is the adjustment factor, a, and this was
calculated for each income level both for urban and rural areas as shown in Equation
4.5.
=
n
opq
(4.5)
Where;
= adjustment factor
A
= Actual average annual consumption for the income group
5
= Calculated consumption of the income group
The Adjustment factor for each income group both for the urban and rural areas was
calculated and is shown in Table 4.6.
Analysis of the margin of error between the actual average consumption values and the
calculated values show that the standard consumptions for appliances were almost
accurately assessed for the middle income level for urban and high income rural
households, since the margin of error is -5% and 6% for middle income urban
households and High income rural households respectively. Among the other income
groups, the error is higher and it is highest in the low income urban households, with an
46
error of -42% between the actual average consumption from KPLC records and the
calculated consumption. The margin of error for the Low income rural households is
moderate at -11% while that of the High income urban households and middle income
rural households are 25% and -25% respectively.
Table 4.6 Adjustment of Specific Consumptions of appliances
Income Group
Mathematical
Annual calculation
of consumption
(kWh) –“ Eai”
Average Annual
KPLC Bill (kWh)
"C"
% Error
margin
Adjustment
factor
(Ratio)
"C"/Eai
Urban Sample
Hi_Urban
Mi_Urban
Li_Urban
Overall average
4,347
1,721
642
2,777
5,767
1,642
451
1,686
25%
-5%
-42%
1.33
0.95
0.70
0.61
Hi_Rural
Mi_Rural
Li_Rural
Overall average
Rural Sample
1,535
913
241
1,163
1,634
733
218
623
6%
-25%
-11%
1.06
0.80
0.90
0.54
The resulting adjustment factor “a” is 0.6 for the urban sample and 0.5 for the rural
sample.
The adjustment factors calculated and shown in Table 4.6for the various income levels
were used to compute the Adjusted Specific consumption for all the appliances in each
income category. The adjusted specific consumption for each appliance was given by
multiplying the standard consumption and the adjustment factor as per Equation 4.6.
%5 = ∗ %
(4.6)
Where;
%5
= Adjusted Specific Consumption of an appliance
= Adjustment factor
47
%
= Standard Consumption of an appliance
For example; the Adjusted Specific Consumption for the iron box in the high income
urban households would be given by;
Standard Consumption = 195kWh; adjustment factor is 1.33
%5 = 195*1.33 = 259kWh.
The results of the adjusted specific consumption for each appliance in each income
group and geographical location (Urban/ Rural) are shown as Appendix 11 and
Appendix 12 respectively.
The Adjusted Specific Consumption for each appliance in each income group was then
used to calculate the actual consumption of the appliances derived from Equation 3.3.
5 = %5 ∗ Where;
5 = Calculated actual Consumption per appliance
%5 = Adjusted Specific Consumption per appliance
= penetration level of the appliance in the income group
For example; the actual consumption of an iron box in the high income urban household
is given by;
Adjusted Specific Consumption of the iron box, =%5 , = 259kWh; and penetration rate,
is 98.3%;
5 = 259*0.98 = 254kWh.
Appendix 13 and Appendix 14 gives the actual consumption of all the appliances in the
three income groups both for the urban and rural areas.
48
4.8.1 Clustering of appliances to end uses and their Specific consumption
Appliances with similar applications were clustered together to form end uses and make
computations easier. Fourteen end uses were created from the original 48 appliances
and are shown in 4.7.
Table 4.7 Clustering of appliances to end uses
END USE
APPLIANCES
1 Air Conditioning
2 Laundry
Air Conditioning System, Fan
Washing Machine, Iron Box
3 Cooking
Electric Cooker, Microwave oven, Deep Fryer, Rice Cooker,
Extractor hood, Built in oven
4 Dish Washing
5 Entertainment & ICT
Dish washer
Television Set, Home theatre system, Stereo, DVD Player, VCD
Player, VCR Player, Video Console, Game , Satellite decoder,
Computer (CPU), Computer Monitor, Laptop, Computer
scanner, Computer printer, House telephone, Mobile Charger
6
7
8
9
10
11
12
13
Fitness
Grooming
House cleaning
Space Heating
Lighting
Refrigeration
Sanitary Water
Small Kitchen appliances
14 Water Supply
Swimming pool, Gym equipment, Sauna/ Jacuzzi, Steam bath
Electric shaver, Hair Dryers
Vacuum cleaner
Fan Heaters
Lighting, Rechargeable Torch
Refrigerator, Freezer
Geyser Heater, Instant shower heater, Immersion Heater
Coffee maker, Bread Toaster, Blender/ juicer, Electric Kettle,
Water Dispenser
Water booster pumps
The adjusted specific consumption for each end use was given by summing the
adjusted specific consumptions for all the applications (appliances) in the end use.
%rs = ∑t %5
(4.7)
Where,
%rs = Adjusted Specific Consumption of end use
%5 = Adjusted Specific Consumption of an appliance in the end use
49
F= number of appliances in the end use
For example; for sanitary water, the appliances in the cluster are, geyser heater, instant
shower heater and immersion heater. The Adjusted Specific Consumption of sanitary
end use would therefore be; the sum of the adjusted specific consumption of the three
appliances that make up the sanitary water end use.
In the high income urban households, the specific consumption of the sanitary water
end use would be:
1,327(geyser heater)+182 (immersion heater) +846 (instant shower heater) =
2,355kWh.
Table 4.8 gives the consumption per year for each end use for the 6 income groups in
Nairobi urban and rural areas. The values in Table 4.8 mean that if an end use were to
be present in a household, the values would represent the consumption of that
particular end use in kWh per year.
Table 4.8 Adjustment Specific Consumption of end uses per income level for Nairobi Urban/ Rural
End use
Adjusted Specific Consumption of appliances (kWh)/ year
Urban _Hi
Urban_Mi Urban_Li Rural_Hi Rural_Mi Rural_Li
6,845
4,925
3,623
5,493
4,141
4,663
466
335
246
374
282
317
1
2
Air conditioning system
Laundry
3
4
5
6
Cooking
Entertainment & ICT
Dishwashing
Fitness
311
1,555
581
933
412
1,119
771
671
297
823
308
494
359
1,248
466
749
270
941
352
565
304
1,059
396
636
7
8
9
10
11
12
13
14
Grooming
House cleaning
Space heating
Lighting
Refrigeration
Sanitary water
Small Kitchen appliances
Water supply
36
119
107
1,219
2,607
2,355
981
121
26
86
77
350
1875
1,695
706
87
19
63
57
105
1380
1,247
519
64
29
96
86
978
2,092
1,890
788
97
22
72
65
294
1,577
1,425
594
73
24
81
68
135
1,776
1,605
668
82
50
4.9 Electricity Consumption by end use per income group
The researcher sought to analyze the electricity consumption and contribution of the
various end uses to the total consumption forthe various income groups. The actual
consumption for the end use,
rsur was obtained by summing the actual
consumptions of all the appliances in the end use. The actual consumption per end use,
was calculated using Equation 4.9.
rsur = ∑w
Ev
(4.8)
Where;
5
= Actual consumption of an appliance in an end use
k
= The number of appliances in the end use
As an example, the actual consumption for the Cooking end use would be the sum of
the consumptions of the Electric Cooker, Microwave oven, Deep Fryer, Rice Cooker,
Extractor hood and Built in oven calculated using equation 3.3 and shown in
Appendices 13 and 14 for the urban and rural households respectively. For the middle
income urban households, the cooking end use would consume 30kWh per year.
The consumption for the income class; , was therefore calculated by adding the actual
consumptions of all the fourteen end uses in the income class as shown in Equation
4.10.
= ∑l rsur
(4.9)
Where,
& = the number of end uses, in this case, & is 14.
rsur = Consumption of each end use
51
The consumption for each end use was then computed for all the three income groups
both in the urban and rural areas and summed up to give the total consumption for the
income group.
4.9.1 High Income urban households consumption per end use
The results of the end use consumption for Nairobi Urban High Income householdsare
displayed in Table 4.9.
Table 4.9 Electricity consumption by end use in Nairobi High income urban households
Nairobi Urban - Hi
Cluster
Consumption
(kWh/year)
% share of total
consumption
Average % Access
levels
rsur 1 Lighting
2
3
4
5
6
7
8
9
10
11
12
13
14
Sanitary water
Entertainment & ICT
Refrigeration
Small Kitchen appliances
Air conditioning system
Laundry
Cooking
Dishwashing
Water supply
Fitness
House cleaning
Space heating
Grooming
yz (kWh/year)
1,209
1,198
907
816
466
395
356
178
69
56
46
43
16
12
5,767
20.96%
20.77%
15.73%
14.15%
8.08%
6.85%
6.17%
3.09%
1.20%
0.97%
0.80%
0.75%
0.28%
0.21%
100.00%
100%
42%
48%
26%
58%
11%
74%
39%
12%
48%
6%
36%
15%
33%
From Table 4.9, the consumption per year of a household in the High income class in
Nairobi consumes 5,767kWh. The share of consumption per end use is also shown.
Figure 4.5 presents the share of consumption for each end use in the urban high
Income group.
52
Dishwashing
Water supply House
Space heating
1%
cleaning
1%
Grooming
0%
1%
Cooking
Fitness
0%
3%
1%
Air conditionning system
7%
Lighting
21%
Laundry
6%
Small Kitchen appliances
8%
Sanitary water
21%
Refrigeration
14%
Entertainment & ICT
16%
Figure 4.5 Electricity Consumption by end use for Nairobi urban High income households
In the High income urban households in Nairobi, lighting and water heating form the
biggest share of electricity consumption at 21% each, entertainment and ICT consume
about 16% followed by refrigeration at 14%. The other end uses combined constitute
less than 30% of the total electricity consumption in this category.
4.9.2 Middle Income Households Consumption by end use
The end use electricity data for the Medium Income urban category is represented in
Table 4.10 and Figure 4.6.Entertainment and ICT consume about 26% of the total
consumption; lighting comes second at 21%, water heating, refrigeration and laundry at
17%, 13% and 11% respectively. This differs from the high income category where
lighting and water heating consumes a considerable share of the total consumption.
Laundry in this category also consumes a considerable share of electricity at 11%
compared to the high income category where laundry contributed only 6% of the total
53
electricity consumption. The total yearly consumption per household in this income
class is 1,642kWh.
Table 4.10Electricity Consumption by end use for Nairobi Middle Income households
Nairobi Urban - Mi
Cluster
Consumption
(kWh/year)
% share of total
consumption
Average % access
rsur 1
2
3
4
5
6
7
8
9
1
0
1
1
1
2
1
3
1
4
Entertainment & ICT
Lighting
Sanitary water
Refrigeration
Laundry
Small Kitchen
appliances
Air conditioning system
Cooking
Water supply
Grooming
417
340
284
214
183
25.40%
20.71%
17.30%
13.03%
11.14%
30%
100%
20%
12%
49%
95
67
30
6
5.79%
4.08%
1.83%
0.37%
18%
7%
10%
7%
2
0.12%
8%
2
0.12%
3%
1
0.06%
0.01%
1
0.06%
2%
0
1,642
0.00%
100%
0%
House cleaning
Fitness
Space heating
Dishwashing
yz (kWh/year)
54
Water supply
0% House cleaning
Air conditionning
0%
system Grooming
Space heating
4%
0%
Cooking
Fitness 0%
2%
0%
Small Kitchen appliances
6%
Dishwashing
0%
Entertainment & ICT
26%
Laundry
11%
Refrigeration
13%
Lighting
21%
Water Heating
17%
Figure 4.6Electricity Consumption by End Use for Nairobi Urban Middle income households
4.9.3 Low IncomeUrban Households Consumption by end use
In the low income urban households, entertainment and ICT form the bulk of
consumption at 43%, followed by laundry at 26% and lighting at 22% as presented in
Table 4.11 and Figure 4.7.
Table 4.11Electricity Consumption by end use for low income urban households
Nairobi Urban - Li
End Use
Consumption
(kWh/year)
% share of total
consumption
Average % Access
rsur 1 Entertainment & ICT
2 Laundry
3 Lighting
4 Refrigeration
5 Sanitary water
6 Air conditioning system
7 Small Kitchen
appliances
8 Grooming
194
43.02%
21%
115
25.50%
42%
98
21.73%
100%
15
3.33%
2%
15
3.33%
5%
7
1.55%
2%
6
1.33%
3%
1
0.22%
3%
55
Nairobi Urban - Li
End Use
Consumption
(kWh/year)
% share of total
consumption
Average % Access
rsur 9 Cooking
1
0
1
1
1
2
1
3
1
4
0
0.00%
0%
0
0.00%
0%
0
0.00%
0%
0
0.00%
0%
0
0.00%
0%
0
0.00%
0%
451
100%
Dishwashing
Fitness
House cleaning
Space heating
Water supply
(kWh/year)
The entertainment and ICT consumption was mainly contributed by television
consumption whose access levels are very high at 90% and iron box whose penetration
levels were found to be 84%.
56
Air conditionning system
2%
Refrigeration
3%
Fitness
Dishwashing
0%
Small Kitchen 0%
Cooking
appliances
0% House
1%
cleaning
Grooming
Sanitary water
0%
0%
3%
Space
heating
0%
Water supply
0%
Lighting
22%
Entertainment & ICT
43%
Laundry
26%
Figure 4.7 % Share of consumption by end use in low income urban households
4.9.4 High Income Rural Households Consumption by end use
Table 4.12and Figure 4.8give the share of consumption among the end uses in the high
income rural in Nairobi region. For the high income rural income households, lighting
load constitutes 59% of all the electricity consumed. Entertainment & ICT follows at 18%
while the rest of the end uses consume less than 20% of the total electricity
consumption.
Table 4.12 ElectricityConsumption by end use in High income rural Households
Nairobi Rural - HI
Cluster
1
2
3
4
5
6
Lighting
Entertainment & ICT
Laundry
Refrigeration
Sanitary water
Small Kitchen appliances
Consumption
(kWh/year)
rsur 971
294
128
93
73
26
% share of total
consumption
59.42%
17.99%
7.83%
5.69%
4.47%
1.59%
% Access
100%
21%
31%
6%
5%
7%
57
Nairobi Rural - HI
Cluster
7
8
9
10
11
12
13
14
Cooking
Air conditioning system
Water supply
Grooming
Dishwasher
Fitness
House cleaning
Space heating
(kWh/year)
Consumption
(kWh/year)
rsur 21
20
6
2
0
0
0
0
1634
% share of total
consumption
1.29%
1.22%
0.37%
0.12%
0.00%
0.00%
0.00%
0.00%
100.00%
% Access
5%
3%
6%
3%
0%
0%
0%
0%
13%
Small Kitchen appliances Air conditionning system Cooking
Dishwasher Fitness Space heating
Water supply
2%
1%
0%
0%
0%
Water Heating
1%
0%
5%
House cleaning
Grooming
0%
0%
Refrigeration
6%
Laundry
8%
Entertainment & ICT
18%
Lighting
59%
Figure 4.8Electricity Consumption by end use in High income rural households
4.9.5 Middle Income Rural Households Consumption by end use
Middle Income group end use consumption in Nairobi Rural is presented in Table
4.13and Figure 4.9. In the middle income rural households, lighting was found to be the
highest consumer at 39% with entertainment & ICT, laundry and refrigeration
58
consuming 32%, 15% and 10% respectively. Other end uses combined consume less
that 5% of the total consumption.
Table 4.13Electricity Consumption by end use in Middle income rural households
Nairobi Rural -Mi
Cluster
1
2
3
4
5
6
7
8
9
10
11
12
13
14
(kWh)
Lighting
Entertainment & ICT
Laundry
Refrigeration
Sanitary water
Small Kitchen appliances
Cooking
Air conditioning system
Dishwashing
Fitness
Grooming
House cleaning
Space heating
Water supply
Consumption
% share of total
(kWh/year)
rsur consumption
288
39.29%
235
32.06%
110
15.01%
77
10.50%
14
1.91%
5
0.68%
4
0.55%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
733
100.00%
% Access
100%
22%
35%
5%
4%
3%
3%
2%
0%
0%
0%
0%
0%
0%
Cooking
Water supply
Water Heating Fitness Dishwashing Air conditionning system
0%
1% Small Kitchen appliances 2%
0%
0% Grooming
0%
0%
House cleaning
1%
0%
Space heating
Refrigeration
0%
10%
Lighting
Laundry
39%
15%
Entertainment & ICT
32%
Figure 4.9Electricity Consumption by end use in rural middle income households
59
4.9.6 Low Income Rural Households Consumption by end use
The share of consumption for end uses in the Low Income Nairobi Rural is presented in
Table 4.14and Figure 4.10.
Table 4.14ElectricityConsumption by end use in low income rural households
Nairobi Rural - Li
Cluster
Consumption
(kWh/year)
rsur 1
2
3
4
5
6
7
8
9
10
11
12
13
14
Lighting
Entertainment & ICT
Laundry
Refrigeration
Sanitary water
Small Kitchen appliances
Cooking
Air conditioning system
Dishwashing
Fitness
Grooming
House cleaning
Space heating
Water supply
yz (kWh/year)
Small Kitchen appliances
0%
Refrigeration
0%
Space heating
0%
Entertainment & ICT
29%
122
63
33
0
0
0
0
0
0
0
0
0
0
0
218
% share of
total
consumption
55.96%
28.90%
15.14%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
100.00%
% Access
100%
10%
9%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
Dishwashing
Air conditionning system
Water supply
House cleaning
0%
0%
0%
Cooking
Fitness Grooming
0%
0% Sanitary water
0%
0%
Laundry
0%
15%
Lighting
56%
Figure 4.10ElectricityConsumption by end use for rural low income households
60
In the Rural low income households, lighting forms the bulk of electricity consumption at
56%, entertainment and ICT follows at 29% and laundry (ironing) has the least
consumption at 15%. The other end uses do not exist in this Income group.
Amongst all the income groups in the rural areas, lighting is the highest consumer of
electricity. Entertainment and ICT and laundry are the next biggest consumers of
electricity in the rural income groups.
4.10
Using the results of the survey to prepare a forecasting model
Having calculated the annual consumption, , per householdfor each income group
based on the end uses, the total consumption for an income group is the product of
and the number of households in that income group.
Equation 4.11 is used to
calculate the total consumption in an income group as;
{ = ! *
(4.10)
Where,
{ = Residential energy demand in an income group
! = Number of Households in the income group.
= annual consumption per household
for each income group given in Tables 4.9 – 4.14.
Total residential consumption is the sum of consumptions in all the three income groups
for both urban and rural households as shown in Equation 4.11.
{ = ∑7 {
(4.11)
Substituting the values of given in Tables 4.9 –4.14for all income groups, Equation
4.12 can be written as:
{ = 5,767 ∗ ! + 1,642 ∗ !8 + 451 ∗ !| + 1,634 ∗ !} + 733 ∗ !~ + 218 ∗ !7
(4.12)
61
Where;! ,!8 I!| ,are the number of households for the high income, middle income
and low income group in the urban and !} , !~ , !7 are the number of households in the
High income, Middle income and low income group in the rural areas respectively.The
value of N is dependent on the connection rate and is also dependent on other factors
like rural- urban migration and factors that make households move from low income to
middle income and from middle income to high income and vice versa.
is also expected to change due to increase in the penetration levels of appliances
and due to technological changes and energy efficiency policies and changes in
penetration levels of end uses. The appliances that have reached saturation levels are
only lighting and mobile chargers in all the income groups, most of the other appliances
are likely to increase as people’s standards of living improve with economic
empowerment as envisaged in Kenya Vision 2030.
4.11
Model Verification
Equation 4.12 was used to calculate the residential energy consumption for the year
2010/2011for which data was available and on which the electricity consumption data
was based.
The data for the number of households in Nairobi region from KPLC annual reports in
both urban and rural households and the consumption per income level was used to
calculate the expected residential energy demand using Equation 4.12. This is given in
Table 4.15. The assumption made in this calculation is that there was no change in
penetration levels of the various appliances in the income groups and no migration of
low to middle income group and from middle to high income group. The efficiency levels
are also kept constant.
Using the percentage of households in the various income groups given in Table 4.1
and Table 4.2and the average consumption per consumption group, the total
consumption for 2010, 2011and 2012was calculated and is shown in Table 4.15.
62
Table 4.15 Residential Electricity Demand in Nairobi region
Year 2010 Estimates
Income Group
Consumption
per Household
(Ei)
% of
Households
No. of
Households
Total
consumption
(GWh)
Consumption
from KPLC
records
% Error
HI-Urban
MI-Urban
LI-Urban
Total
5,767
1,642
451
16%
32%
52%
100%
82,279
164,558
267,407
514,244
475
270
121
865
HI-Rural
MI-Rural
Low-Rural
Total
1,634
733
218
20%
25%
55%
100%
10,042
12,553
27,616
50,211
16
9
6
32
Total Consumption (Urban + Rural)
1,589
1,583
564,455
897
893.3
-0.41%
Consumption
per Household
(Ei)
% of
Households
No. of
Households
Total
consumption
(GWh)
Consumption
from KPLC
records
% Error
Year 2011 Estimates
Income Group
HI-Urban
MI-Urban
LI-Urban
Total
5,767
1,642
451
16%
32%
52%
100%
98,789
197,578
321,064
617,430
570
324
145
1,039
HI-Rural
MI-Rural
Low-Rural
1,634
733
218
20%
25%
55%
12,371
15,464
34,021
20
11
7
63
Total
Total Consumption (Urban + Rural)
100%
61,857
39
1,587
1,452
679,287
1,078
987
-9%
Consumption
per Household
(Ei)
% of
Households
No. of
Households
Total
consumption
(GWh)
Consumption
from KPLC
records
% Error
951
-31%
Year 2012 Estimates
Income Group
HI-Urban
MI-Urban
LI-Urban
Total
5,767
1,642
451
16%
32%
52%
100%
113,038
226,075
367,372
706,485
652
371
166
1,189
HI-Rural
MI-Rural
Low-Rural
Total
1,634
733
218
20%
25%
55%
100%
15,305
19,132
42,089
76,526
25
14
9
48
Total Consumption (Urban + Rural)
1,580
1,207
783,011
1,237
64
Using equation 4.12, the consumption is computed for each year from 2009/10 to
2011/2012 and plotted against the actual consumption. Figure 4.11 shows the actual
consumption and the computed consumption using equation 4.12.
1400
1200
Consumption (GWh)
1000
800
600
400
200
0
2009
2010
Calculated Consumption (GWh)
2011
2012
Actual Consumption
Figure 4.11 Computed Vs actual Residential electricity demand in Nairobi region
The observation here is that in the year 2010 where the data is available for the
penetration level of appliances, the number of households in each category, the
calculated consumption is almost equal to the actual consumption from KPLC records.
Consumption for the other years do not match the actual consumption. This could be
because the data used was not the actual data based on penetration level of
equipment, the urban rural migration, rate of change from one income level to the other.
If these factors could be estimated correctly, then the actual consumption would be
correctly calculated.
65
The number of households connected to electricity in Nairobi region was compared to
the computed consumption. The results are shown in Figure 4.12.
1,400
1300
1,300
Number of Households ('000')
1,100
1100
1,000
900
1000
800
900
700
600
Electricity Consumption (GWh)
1200
1,200
800
500
400
700
2009
2010
No. of connected households ('000')
2011
Calculated Consumption (GWh)
2012
Actual Consumption
Figure4.12. Comparison of the number of households and the energy consumption
The pattern observed from Figure 4.12 is that consumption from 2009-2010 remained
fairly constant despite the increase in the number of connected households. From 2010
to 2011, there was an increase in the number of connected households from 564,000 to
679,000. During the same period, electricity consumption grew by 10.5%. In 2011 2012, though number of connected households increased, there was a decline in
electricity consumption within that period. The decline could be attributed to decrease in
consumption by households probably due to efficiency measures. The Government
financed project involving energy saving bulbs that were installed in households are
likely to have contributed to the decrease in consumption given that half of the project
bulbs were retrofitted in Nairobi region.
66
CHAPTER FIVE
5
DISCUSSIONS
5.1 Residential Power Consumption in Nairobi Region
The aim of this study was to establish the factors that contribute to household energy
demand in Nairobi region and try to develop a model for electricity demand forecasting
for the residential sector in the region. To achieve this, a household survey was carried
out for sampled households in Nairobi region both in the urban and rural areas to
establish the existing household appliances in the households and their usage patterns.
Face to face interviews were done to establish the usage of equipment in the sampled
households. Analysis of the collected data was done to establish the consumption
levels of the sampled households.
To start with, an interrogation of the econometric model used in forecasting demand in
Kenya was done. It was established that the model does not compare well with the
actual consumption and this is clearly illustrated in Figure 2.1. An exercise to analyse
the electricity consumption data for the sampled households was done to obtain the
annual consumption per household.
The data was further analysed and used to
distribute the surveyed households according to the average annual consumption since
the data for actual income for the households could not be established.
Several studies have established that economic, demographic, geographic and social
factors have an impact on energy demand and consumption patterns. In this study,
some of the factors namely, economic (using electricity consumption), demographic,
geographical and social factors and ownership and usage of electrical appliances and
their impact on electricity consumption patterns were evaluated.
5.1.1 Electricity consumption patterns for households
Analysis of the consumption of electricity for the sampled households showed that 52%
and 75% of the households both in the urban and rural areas respectively consume less
than 1000kWhannually as presented in Figure 4.1 and Figure 4.2. The pattern in the
67
urban sample shows that 48% of the households consume above 1000kWh per month
compared to the rural sample where only 20% of households consume above
1000kWh. This is considered reasonable since the urban households are deemed to
have more disposable income than the rural urban households. Curve fitting done to
Figures 4.1 and 4.2 gave an exponential relationship between the consumption level in
kWh and the percentage of households within a certain consumption level per year.
The higher consumption levels in the urban areas can further be explained by the high
penetration rate of appliances compared to the rural areas. As demonstrated in Figures
4.3 and 4.4, all the appliances exist in the urban households with varying levels of
penetration except the video game console, which is lacking in all the households
sampled including in the rural sample. Some of the energy intensive appliances present
in the urban households that contribute to the high consumption are the instant shower
heater, which has a high penetration rate of 69% and geyser heater at 44% amongst
the high income urban households. The same appliances in the rural areas have a
penetration rate of 9% and 0% respectively for the high income group.
Residential energy use is the sum of the energy demanded by residential services such
as lighting, entertainment, refrigeration, water heating, etc. The electricity consumption
was calculated by computing the consumption for each appliance. This was done by
multiplying the standard rating of the appliance give in Appendix 8 and the penetration
rate and summing up the consumption of all the appliances for each income group
given in Tables 4.4 and Table 4.5. Comparison of the calculated consumption per
income group and the average actual consumption shows a slight variation.
This
variation shows that the assumed standard consumption is not accurate for all the
income groups because of differences in ratings of different equipment and the usage
levels in the different income levels.
For example, in the urban households, television sets are likely to be bigger and
thereforehave higher power ratings in the high income urban households than in the
middle income and low income households.
68
The usage hours are also likely to be different based on the income group and
geographical location. The usage hours of appliances in the urban areas are likely to be
more than the rural household usage of appliances.
Based on this argument, the
computed consumption was adjusted to match the actual consumption and enable
computation of the consumption share of each appliance. The adjustment factor for the
appliances in each of the income groups is shown in Table 4.6.
5.1.2 Consumption by end use
Because of the high number of appliances, it was found necessary to group appliances
with similar functions to end uses. This would enable easier analysis of energy use for
each end use. The share of consumption by each end use is given in Tables 4.9 to 4.14
and Figures 4.5 to 4.10.
For the highincome urban households, lighting and sanitary water end uses are the
biggest consumers of electricity at about 21% each. Lighting in the high income areas is
very significant because of the size of house that requires illumination. Further, the
lighting in this income group tends to be elaborate as it forms part of the housedesign
where one would find chandeliers, task lighting and other lighting for decorative
purposes. High hot water requirements for bathing contribute to the high sanitary water
end use consumption.
Entertainment and ICT and Refrigeration end uses also have a sizable contribution to
the overall electricity consumption at 16% and 14% respectively. In this income group,
the high consumption in the entertainment and ICT end use is due to the high
penetration rate of television sets, computers, and other appliances in this income
group. The high consumption by the refrigeration end use is contributed by the high
penetration rate of refrigerators and freezers.
Entertainment and ICT on the other hand tops the list of end uses with the highest
consumption at 25% followed closely by lighting and water heating at 21% and 17%
respectively in the urban middle income households.
The high contribution of
consumption by entertainment and ICT end use is due to the high levels of penetration
69
of television sets, DVD players, computers, laptops in this income group. Lighting end
use is also significant in this income group due to the size of the houses and the
number of lights there in.
Amongst the low in income households, Entertainment and
ICT end use has the highest consumption share at 43%.
This consumption is
contributed mainly by television sets, stereo, DVD player, and home theatre system.
These appliances are available in the low income households and it shows that their
use is significant in this income group.
The other end use that has a high share of consumption at 26% is laundry, contributed
only by the iron box which has a high penetration rate at 84%. Lighting also contributes
significantly to the total consumption at 22% while the other end uses like refrigeration
and sanitary water have low contribution due to their low penetration rates at 3% each.
The other end uses have very low consumption or do not exist in this group.
Lighting, Entertainment and ICT and laundry end uses form the highest consumers in all
the income groups in the rural households. This is understandable since most of the
electricity is used in some households in the rural areas solely for lighting. The other
end uses are used in a few households where one should find a television set and a
stereo or DVD player. In the low income households, electricity is used only for three
end uses, i.e. Lighting, Entertainment and ICT and Laundry (iron box).
5.2 Forecasting model Residential Power Consumption in Nairobi Region
It was shown earlier that the econometric model used to predict or estimate power
demand in Kenya is not accurate, mainly because the factors used to forecast demand
like GDP and other economic factors cannot be accurately predicted. A model which
breaks down electricity consumption in to end uses would be accurate as studies have
shown elsewhere. The end use model has been used by the developed countries to
forecast energy demand and has been found to be accurate.
The same can be used in developing countries like Kenya. However, it requires massive
data and information on income levels to give acceptable levels of accuracy. Locally,
no studies have been done to determine the end use of electricity amongst the users. It
70
was also found difficult to establish the income level of households in Kenya since the
information is not available and many people do not like to give information regarding
their income. However, this study has attempted to use electricity consumption as a
measure of income and categorized the household in to 6 income groups. The average
consumption based on the end uses in each income group was used to estimate
consumption per household in each of the income groups.
Equation 4.12 was used to calculate the total consumption in the residential sector in
Nairobi region and the results are presented in Table 4.15. The results for the base
year (2010/2011) compare well with the actual consumption obtained from KPLC annual
report.
This shows that the household survey data used and the composition of
households in to the income groups were accurately assessed for that year.
For the other years, the calculated consumption is over forecasted by 9% and 30%
respectively for 2011 and 2012. This is considered reasonable because penetration
rate was held constant during computation; urban rural migration was also not factored
in the computation as well as migration of households from one income group to
another and efficiency levels were held constant. This clearly illustrates that population
growth (which determines the connectivity rate), geographical location, efficiency and
technological changes of equipment all contribute to residential energy demand.
Equation 4.12 can therefore be used to project residential electricity demand as long as
the coefficients can be determined.
By projecting the level of N (number of the
households) and P (penetration rate of appliances) while maintaining the specific
consumption of appliances constant would provide a frozen efficiency scenario or
decreasing the specific consumption of appliances over time would reflect an
assumption of implementation of energy efficiency measures. In assessing the energy
consumption of a particular appliance, say the refrigerator, based on the number of
households and the percentage of households having a refrigerator, the number of
refrigerators for a future year may be estimated. Based on the average energy use of
the refrigerator, the total energy consumption of refrigerators may be estimated. The
71
same procedure can be used for other appliances to give the overall energy demand in
the residential sector.
Figure 4.12 gives the comparison between the number of households and the electricity
consumption in the residential sector. It is clear that although the number of households
influences the electricity consumption, this does not necessarily correspond to an
increased consumption.
Other factors may come in to play like the cost of electricity that would encourage
conservation and make some households stop the usage of some appliances. Energy
efficiency awareness is also another factor where the users become aware of efficient
technologies as well as better operational methods that save energy. The bulk of the
customers being connected are rural customers through the Rural Electrification
programme. Most of these customers use electricity for lighting was shown earlier. The
ratio of these customers and their contribution to the overall residential demand needs
to be accurately assessed.
The results of this study therefore show that the econometric model in use for the
forecasting electricity demand in Kenya does not accurately reflect the actual
consumption patterns in the residential sector.
The study has demonstrated that the
end use methods of forecasting demand provides more accurate results as long as all
the data is available. It is suggested that this model be improved further to include
factors such as change in penetration levels of appliances and the migration of
households from one income group to the other. Efficiency levels of equipment should
also be critical since efficient equipment and awareness levels of energy conservation
as increasing with time due to the government policies geared towards saving energy to
reduce energy costs and combat climate change.
72
CHAPTER SIX
6
CONCLUSIONS AND RECOMMENDATIONS
6.1 Conclusions
The main objective of this study was to carry out a household electrical energy survey in
Nairobi region and use the data to develop a model for forecasting residential power
demand in the region. The energy consumption forthree income groups for both urban
and rural was analyzed. The appliances in each income group were clustered in to end
uses and their contribution to overall electricity consumption in the various income
groups analyzed.
Based on the findings, a model was developed that took into
consideration the end uses, their penetration rates, and the number of households in
each income class. The objectives of this study as stated in Section 1.5 have therefore
been met.
Further, the following conclusions are drawn from this study:
•
Household location (urban/ rural) and income levels have a bearing on electricity
consumption.
•
Most households both in the urban and rural households have a consumption of
less than 1000kWh per year (about83kWh per month).
•
The average yearly consumption for the high, middle and low income urban
households is 5,767kWh, 1,642kWh and 451kWh respectively while that of the
high, middle and low income rural households is 1,634kWh, 733kWh and
218kWh respectively in the period 2010/2011.
•
Lighting and mobile chargers have reached saturation levels of 100% amongst
all the income classes. Despite the high penetration levels, mobile chargers do
not have a high contribution to consumption due to the low power rating.
•
Penetration rate of television sets is high in the high, middle and low income
urban households at 98%, 93% and 90% respectively. While the penetration rate
is also high amongst the high income and middle income at 78% and 83%
respectively, the penetration rate amongst the low income rural households is
73
low at 19%. Households in this income group have stereo at a higher rate of
penetration at 31% as a form of entertainment.
•
In the low income rural households, only six appliances were found to exist.
These are home theatre system at 6% penetration, mobile chargers at 100%,
stereo at 31% television sets at 19%, iron box at 19% and lighting at 100%.
•
In the urban high income households, all the appliances exist, except the video
game console.
•
Lighting and entertainment and ICT is the most dominant end use in the rural
households in all the income groups.
•
There is no direct relationship between the number of households connected to
electricity and the amount of electricity consumed. Other factors come in to play,
especially the income levels of the households, hence the consumption per
household.
•
The econometric model used in forecasting demand currently in use is not
accurate and does not reflect the actual household demand patterns.
The
factors that affect demand directly like the penetration level of appliances and
their consumption levels should be taken in to consideration in forecasting.
•
The end use based model for forecasting energy demand in the residential sector
is more accurate than the econometric model. From this study, a model shown
in equation 4.12 as:
{ = 5,767 ∗ ! + 1,642 ∗ !8 + 451 ∗ !| + 1,634 ∗ !} + 733 ∗ !~ + 218 ∗ !7
was developed and tested andfound to give more accurate results than the
econometric model. For accurate, the values of N, penetration level of appliances
and specific consumption of appliances need to be accurately predicted. The
consumption level for the various income levels used in the equation is
dependent on the penetration level of appliances in the income group, the
intensity of use and the efficiency levels of appliances. In the future, the specific
consumption of appliances is likely to decrease due to increased awareness and
the availability of more efficient appliances for use in the market.
74
6.2 Recommendations
During this study, several observations were made and the following recommendations
are made:
•
A sample covering all three income groupswas studied in Nairobi region, both
urban and rural areas. The study did not cover the off grid areas due to logistical
difficulties of carrying out the survey in these areas. It is recommended that a
more comprehensive study be done to include the off grid areas.
•
The study used electricity consumption data as a measure on income for the
sampled households. This may not be very accurate because some households
which are high income may have been placed in the middle income class due to
energy efficiency or other considerations like usage levels of appliances. More
studies are required which will take the actual income in to consideration while
designating the customer to an income group.
•
The study used the existing KPLC boundary for Nairobi Region. However, with
the devolved system of government in place, it would be useful to carry a study
for each county as it will now be very necessary forecastthe power requirements
of each county going forward. Further studies will be required for each county to
cover the whole country.
•
More data will be required for use in the end use model to give good results. The
following data will be required; urban- rural migration, income of households,
migration rate from one income group to the rest, rate of change of penetration
level of appliances, especially among the newly connected households, energy
efficiency levels, etc. This data, when input to the model will give good results.
•
This study can also be enhanced to cover other forms of energy and create a
model for all the energy requirements in the household as well as other sectors
like transport, commercial and industrial sectors.The econometric model in use
for forecasting electricity demand needs to be reviewed as it does not reflect the
actual energy consumption patterns, especially in the residential sector.
75
7
REFERENCES
Bhattacharya, S.C, [2011]. Energy Economics, Concepts,
Issues and
Governance,Centre for Energy, Petroleum and Mineral Law and Policy, University
of Dundee, UK, Springer-Verlag London Limited, Page 100.
DAMODAR, G.N, (2004). Basic Econometrics, McGraw-Hill, Page 11.
GOVERNMENT OF KENYA, [2011].Technical Assistance to the Ministry of
Energy:Report on Household appliances survey, Egisbceom International,
ECM Centre Limited.
GOVERNMENT OF KENYA, KENYA NATIONAL BUREAU OF STATISTICS,
(2005/06).Basic Report, Kenya Integrated
Household
Budget
Survey,
Government Press.
GOVERNMENT OF KENYA, KENYA NATIONAL BUREAU OF STATISTICS,
(2010).Economic Survey 2010, Government Press.
GOVERNMENT OF KENYA, KENYA NATIONAL BUREAU OF STATISTICS,
(2010).Kenya Population and Housing Census, Volume II, Population and
Household distribution by Socio- Economic Characteristics, Government
Press.
GOVERNMENT OF KENYA, MINISTRY OF ENERGY (2004). Sessional Paper
No. 4 on Energy, Government Press.
Greer, M., [2011]. Electricity Cost Modeling Calculations. Elsevier Inc. Oxford,
UK. Page 261.
HOURI,
A.
and
IBRAHIM–KORFALI,
S.,
[2004].
Residential
Energy
Consumption Patterns: the case of Lebanon. Lebanese American University,
Beirut.
76
ISLAM, S.M andS.M AL –ALAWI, (1996).Principles of electricity demand
forecasting,Part 1 Methodologies, Power Engineering Journal.
ISLAM, S.M AND S.M AL –ALAWI, (1996). Principles of electricity demand
forecasting,Part 2 Applications, Power Engineering Journal.
KENYA POWER AND LIGHTING COMPANY LTD, (2010).Annual Report and
Financial Statements, Nairobi.
KIPPRA,(2010).AComprehensive Study and Analysis on Energy Consumption
Patterns in Kenya, Nairobi.
MAGAMBO, C.K, (2010).A Study of Household Electricity Demand and
Consumption Patterns in Nairobi. Project presented for MSc. Energy
Management, University of Nairobi.
MCNEIL, M.A and LETSCHERT, V.E. (2000).Forecasting Electricity demand in
developing countries. A study of Household Income and Appliance
Ownership,Environmental Energy technologies Division, Lawrence Berkeley
National Laboratory, Building 90-4000, Berkeley, California 94720.
SWISHER J.N., G.M. JANNUZZI, and R.Y. REDLINGER, (1987).Tools and
Methods for Integrated Resource Planning: Improving Energy Efficiency and
Protecting the Environment,Grafisk Service, Risø National Laboratory, Denmark,
P. 29.
TINTNER,
G,
(1968).Methodologyof
Mathematical
Economics
and
Econometrics,The University of Chicago Press, Chicago, P.74.
WORLDBANK/UNDP, (1987).Kenya National Power Development Plan,Energy
Efficiency and Strategy Division, Washington DC.
UNITEDNATIONS, (2005).Designing household surveys; practical guidelines,
Department of Economics and Social affairs, Studies in Methods, New York, P. 36.
77
APPENDICES
Appendix 1 Electricity Demand (GWh) by Sector in Kenya
Actual Electricity Sales in Kenya by sector (GWh): 2002 - 2011
8000
7,303
6,692
7000
Electricity consumption (GWh)
6,169
4000
5,347
4,564
3,628
4,751
2209
5,322
5,036
4,090
954
936
446
2002
Residential
5,432
5,065
4,379
4,580
2305
2502
2661
2,778
3,039
2000
0
6,123
5,624
3,802
3000
1000
6,489
5,697
6000
5000
6,384
1040
949
450
2003
Small Commercial
1105
946
476
2004
1173
968
522
2005
Commercial & Industrial
1,247
1,384
1,117
1,104
522
558
2006
2007
Street lighting
3,104
3,020
1,569
1,547
1,062
590
1,057
823
2008
2009
Export
System losses
3,153
3,401
1,769
1,605
1,068
1,180
823
904
2010
2011
Total energy purchased (demand)
Source: KPLC records
78
Appendix 2 Map showing KPLC Nairobi Region
In this map, the red polygon hereunder represents the border
of the KPLC Nairobi Region
79
Appendix 3 Map of the Surveyed Urban Estates
80
Appendix 4 List of Urban estates Surveyed
REGION
DISTRICT
DIVISION
Nairobi Urban
Nairobi West
Kibera
Nairobi East
Embakasi
Makadara
Kasarani
Pumwani
Westlands
Westlands
SUB-LOCATION
(Estate)
Lenana
Laini Saba
Mugumo-ini
Dandora A
Mowlem
Njiru
Savanna
Makongeni
Makadara
Ngara West
MlangoKubwa
Zimmerman
Mwiki
Garden Estate
Mathare North
Eastleigh North
Shauri Moyo
Upper Muthaiga
Kileleshwa
Kyuna
Appendix 5 List of Rural Locations Surveyed
REGION
DISTRICT
DIVISION
SUB-LOCATION
Nairobi Outskirts
Makueni
Kaiti
Kiambu
Kathonzweni
Ruthimitu
Mukuyuni
Utaati
Kivani
Makongo
Kilala
Kaumoni
Ituka
Ruthimitu
81
Appendix 6 Standard Consumption for household appliances
Appliance
Unit Consolidated Average
KWh/ cycle
power
rating W
Washing Machine(cycle)
cy
cy
1.2
1.5
Electric Cooker
Extractor hood
Microwave oven
Rice cooker
Computer (CPU)
Computer monitor
Computer Printer
Computer Scanner
DVD Player
Home Theater System
yr
Stereo
Television set
TV Set –top box
VCD Player
VCR Player
Video Game Console
Gym Equipment
Jaccuzi - spa
Sauna or steam
Swimming pool
Electric shaver
Hair dryers
Vacuum cleaner
Fan heaters
Iron Box
Lighting HI
Lighting MI
135
12.5
4,860.00
300.00
438.00
156.00
72.00
93.60
61.20
32.85
51.10
26.00
100.00
50.00
2.40
1.00
35.00
70.00
10.00
220.00
0.61
125.00
75.00
220.00
133.00
50.00
50.00
30.00
104.00
101.40
390.00
108.00
1.00
26.00
90.00
81.00
195.00
904.00
352.00
2
220
5
Mobile charger(s)
yr
yr
yr
yr
yr
yr
yr
Standard
unit yearly
cons in kWh
3
1.5
3
0.30
0.20
1
2.7
2.7
0.5
0.5
2.50
2.7
10
Laptop
Satellite Decoder
Hours of
use
month
1.00
2000
1200
1700
300
700
500
100
50
400
35
40
70
Built in oven
Deep fryer
House telephone
Hours of
use
week
3000
2000
Air conditioning system
Fan
Dishwasher (cycle)
No.
hours
use day
2.7
0.33
125
75
220
133
50
50
30
500
1300
5000
1000
20
1000
1000
25
1500
620
240
4
1.5
1.5
12.00
0.10
0.5
0.30
270
2.5
4
4
82
Appliance
Unit Consolidated Average
KWh/ cycle
power
rating W
Lighting LI
105
40
Rechargeable torch
freezer large
freezer medium
freezer small
Refrigerator large
Refrigerator medium
Refrigerator small
Geyser heater
Immersion heater
Instant shower heater
Blender/Juicer
Bread Toaster
Coffee maker
Electric kettle
Water dispenser
Water booster pump(s)
yr
yr
yr
yr
yr
yr
yr
No.
hours
use day
Hours of
use
week
3.5
1.00
600
400
125
500
250
90
1000
0.166667
1500
3500
350
800
800
1500
580
500
0.25
0.50
0.03
0.10
0.50
0.25
2.00
0.50
Hours of
use
month
Standard
unit yearly
cons in kWh
135.00
14.60
600.00
400.00
125.00
500.00
250.00
90.00
1,000.00
136.88
638.75
4.26
29.20
146.00
136.88
423.40
91.25
83
Appendix 7 Average Annual Consumption for the Sample urban households – KPLC records
Questionnaire
No.
Account/
meter
number
U-001
U-002
U-003
U-004
U-005
U-006
U-007
U-008
U-009
U-010
U-011
U-012
U-013
U-013
U-015
U-016
U-017
U-018
U-019
U-020
U-021
0084028-01
2954319-01
0084122-01
3058741-01
0084115-01
0084005-01
0084084-01
76519-16
0083241-01
84140-06
2014690-01
0083967-01
3265151-01
2473337-01
3237300-01
2750156-01
3297933-01
2528363-01
3127647-07
2889882-01
3265150-01
Total Annual
Consumption
from KPLC
records
(KWh)
2,154
798
3,294
1,063
1,985
1,945
1,802
332
4,568
10,680
1,112
1,624
80
981
282
247
2,311
131
1,144
344
414
Questionnaire
No.
Account/
meter
number
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
Account/
meter
number
Total Annual
Consumption
from KPLC
records (KWh)
U-022
U-023
U-024
U-025
U-026
U-027
U-028
U-029
U-030
U-031
U-032
U-033
U-034
U-035
U-036
U-037
U-038
U-039
U-040
U-041
U-042
3237303-01
3470226-01
3467801-01
2108745-02
2896882
251800
2001398
0265731-21
2265595-01
2507657-02
3159661 - 01
0244621-11
0086201-01
2108743-01
2511398-01
247726
231779
2390491-02
90179-01
22511931-01
0231742-02
408
457
219
1,745
296
3,142
3,302
3,006
4,123
1,988
452
4,687
1,683
4,125
96
9,784
9,519
1,487
6,466
4,048
6,571
U-043
U-044
U-045
U-046
U-047
U-048
U-049
U-050
U-051
U-052
U-053
U-054
U-055
U-056
U-057
U-058
U-059
U-060
U-061
U-062
U-063
0246562-03
0084647-01
2389349
2044364
2073949-03
2073952-01
2829734
2389348-01
2189997
60267284
2365485-01
0012053-01
231701
2390493
3443517-01
0090690-01
2365491-01
0012063-02
2171313
246593
2171148
6,490
3190
748
12,585
2,555
5,145
4,662
1,587
1,556
3,674
4,569
10,649
901
477
2,078
5,799
3,129
5,581
468
14,849
354
84
Questionnaire
No.
Account/
meter
number
U-064
U-065
U-066
U-067
U-068
U-069
U-070
U-071
U-072
U-073
U-074
U-075
U-076
U-077
U-078
U-079
U-080
U-081
U-082
U-083
U-084
2474420-01
2549350
2751634-01
2973749
2651395-01
3224346-01
0239886-01
3159661 - 01
260108-01
3292597 - 01
350260-01
2166198-01
2308025-01
2957279-01
2292992-01
2991347-01
2505807
2926456-01
3529015-01
3444660-01
3390868-01
Average
annual
Consumption
from KPLC
records (KWh)
1,750
585
1,163
489
475
251
102
536
180
204
71
630
692
281
717
384
530
1,276
19
315
64
Questionnaire
No.
Account/
meter
number
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
Account/
meter
number
Total Annual
Consumption
from KPLC
records (KWh)
U-085
U-086
U-087
U-088
U-089
U-090
U-091
U-092
U-093
U-094
U-095
U-096
U-097
U-098
U-099
U-100
U-101
U-102
U-103
U-104
U-105
3180947-01
3502635-01
2293009-01
2293001-01
2293012-01
3283204-01
3283198-01
0160635-01
160621-01
160616-01
2425007-01
0282672-02
0283002-02
0282727-02
0282665-02
0282670-02
0282738-03
0282726-02
0160380-01
0160551-01
0160425-01
729
151
594
245
334
544
391
2,224
505
1,043
1,026
341
781
186
153
137
186
796
2,334
164
1,654
U-106
U-107
U-108
U-109
U-110
U-111
U-112
U-113
U-114
U-115
U-116
U-117
U-118
U-119
U-120
U-121
U-122
U-123
U-124
U-125
U-126
0160398-01
2998459-01
2086178-01
282975-05
0289210-01
02237020-01
292343
3458303-01
3458280-01
3453267-01
2949691-01
0074273-01
2949676-01
0090559-01
0112176-03
0112177-02
0136307-02
2045931-04
2045925-01
905558-01
0060312-01
2,396
1,120
825
928
1,268
944
1,278
410
491
100
320
2,781
1,910
2,391
4,215
1,941
417
1,023
2,123
1,971
1,661
85
Questionnaire
No.
U-127
U-128
U-129
U-130
U-131
U-132
U-133
U-134
U-135
U-136
U-137
U-138
U-139
U-140
U-141
U-142
U-143
U-144
U-145
U-146
U-147
Account/
meter
number
0112197-02
2045929-02
0136306-02
2045920-01
2034961-02
0238866-02
2076264-02
2949671-01
2949690-01
3128434-01
3234170-01
2212746-01
3361897-01
3467413-01
3534558-01
3395466-01
3423180-01
3534571-01
3423214-01
2212736-01
0082054-01
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
1,545
1,201
1,627
501
1,233
1,696
657
1,158
749
1,381
697
927
94
666
68
397
126
49
478
712
4,446
U-148
U-149
U-150
U-151
U-152
U-153
U-154
U-155
U-156
U-157
U-158
U-159
U-160
U-161
U-162
U-163
U-164
U-165
U-166
U-167
U-168
Account/
meter
number
87817-03
0082073-01
2193439-01
2002405-02
2144775-01
2232694-01
2423041
2592085
2577982-01
157221
20060121
145286370
1450492218
1450327448
2370418-01
0075970-01
2959035-01
1450377369
1450315435
1450384688
2852705-01
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
5,033
7,859
3,273
3,125
9,922
2,905
1,399
5,846
641
1,964
6,402
1,108
1,248
571
1,700
657
291
638
3,003
1,512
2,360
U-169
U-170
U-171
U-172
U-173
U-174
U-175
U-176
U-177
U-178
U-179
U-180
U-181
U-182
U-183
U-184
U-185
U-186
U-187
U-188
U-189
Account
number/
meter
number
2537788-01
1450384761
1450499460
1450492184
3076419-01
2537787-01
0075972-01
1450710783
1450293756
1450386428
2537796-01
3076422-01
0075982-01
0122875-08
3282252-01
2250140-01
2250110-01
2250136-01
2621595
2802846-01
099330-01
Total Annual
Consumption
from KPLC
records (KWh)
486
307
935
948
118
446
1,499
1,169
1,699
1,207
593
156
892
1,197
1,182
744
505
1,040
485
149
1,031
86
Questionnaire
No.
U-190
U-191
U-192
U-193
U-194
U-195
U-196
U-197
U-198
U-199
U-200
U-201
U-202
U-203
U-204
U-205
U-206
U-207
U-208
U-209
U-210
Account
number/
meter
number
3426554-01
2792164-01
2802849
3247328-01
3247338-01
361680-01
3247335-01
3247332-01
3549081-01
3356014-01
3549098-01
3549085-01
3011597-01
229813
282996-03
293126-02
0290153-02
265120-01
2001442-02
0282983-03
0244412-01
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
49
262
113
549
227
40
493
500
93
158
20
29
249
1,648
994
1,635
1,300
811
1,786
737
4,712
U-211
U-212
U-213
U-214
U-215
U-216
U-217
U-218
U-219
U-220
U-221
U-222
U-223
U-224
U-225
U-226
U-227
U-228
U-229
U-230
U-231
Account
number/
Meter
Number
0244367-02
2105299-01
0244354-01
0244356-01
0244521-03
244411-01
2592892-01
2105273-01
2105304-01
244329-01
0244355-01
292608-03
3396018-01
3395987-01
2366362-01
265372
0283022-04
4.216E+09
0159044-01
158999-01
4.202E+09
Total Annual
Consumption
from KPLC
records
(KWh)
343
908
678
1,919
1,003
3,681
2,711
1,089
828
2,065
780
385
783
617
1,908
899
1,407
136
1,274
2,677
710
Questionnaire
No.
U-232
U-233
U-234
U-235
U-236
Account/
meter
number
159011-01
4217725318
1450400187
4218736926
1450992324
Total Annual
Consumption
from KPLC
records (KWh)
717
149
1,340
1,212
864
87
Appendix 8 Average annual Consumption for the sample rural households - KPLC records
Questionnaire
No.
Account/
meter number
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
Account/
meter number
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
Account/
meter number
Total Annual
Consumption
from KPLC
records (KWh)
R-001
R-002
R-003
R-004
R-005
R-006
R-007
R-008
R-009
R-010
R-011
R-012
R-013
R-014
R-015
R-016
R-017
R-018
R-019
R-020
R-021
0038286-01
2384653-01
2736908-01
3531446-01
2294088-01
3281923-01
0038251-01
2831440-01
2019960-01
2366482-02
2474381-01
2506080-01
2273419-01
0041151-01
3106910-01
0038292-01
2201836-01
3210754-01
3281934-01
0038229-01
38238
571
571
886
110
134
576
741
217
214
535
345
675
268
937
379
332
290
1305
500
4133
1993
R-022
R-023
R-024
R-025
R-026
R-027
R-028
R-029
R-030
R-031
R-032
R-033
R-034
R-035
R-036
R-037
R-038
R-039
R-040
R-041
R-042
2019964-01
0041610-01
3418750-01
2708318-01
2596440-01
2727616-01
3142721-01
2716955-01
2742486-01
2729963-01
3431477-01
2714857-01
2522665-01
2709892-01
2524535-01
26666801-01
2708320-01
60647772
2524522-01
2873598-01
3112454-01
598
752
65
303
214
34
934
1173
460
159
195
663
393
172
180
189
323
182
312
226
110
R-043
R-044
R-045
R-046
R-047
R-048
R-049
R-050
R-051
R-052
R-053
R-054
R-055
R-056
R-057
R-058
R-059
R-060
R-061
R-062
R-063
2524540-01
2272891-01
2442091-01
2273040-01
2779769-01
2273087-01
2273086-01
2272872-01
3296626-01
2271888-01
3052591-01
2273040-01
3447499-01
3005892-01
3492703-01
3492735-01
2274489-01
2269509-01
3005892-01
2798280-01
2924853-01
168
1785
1842
180
590
168
672
305
878
1855
260
180
3189
1148
35
69
113
392
1148
358
203
88
Questionnaire
No.
Account/
meter number
Total Annual
Consumption
from KPLC
records (KWh)
Questionnaire
No.
Account/
meter number
Total Annual
Consumption
from KPLC
records (KWh)
R-064
R-065
R-066
R-067
R-068
R-069
R-070
R-071
R-072
R-073
R-074
R-075
R-076
R-077
R-078
R-079
R-080
R-081
R-082
R-083
R-084
3250616-01
3639123-01
3147127-01
3250613-01
3301574-01
2666905-01
3405307-01
2986005-01
3011758-01
2272337-01
60242851
2395304-01
2339660-01
2460170-01
3371836-01
60927738
2367445-01
2272335-02
20200564
2719585-01
3393725-01
548
11
106
258
61
737
136
738
1282
556
433
1269
1337
914
382
1077
1559
850
1103
1103
68
R-085
R-086
R-087
R-088
R-089
R-090
R-091
R-092
R-093
R-094
R-095
R-096
3340363-01
2647751-01
2648480
2863389
2876640-01
2271247-01
2583285-01
2392447-01
3110217-01
33354488-01
2271690-01
2314809-01
79
158
510
240
123
897
1599
1147
375
64
349
868
89
Appendix 9 Calculated consumption of appliances – Urban
Urban HI
Appliance
Urban MI
Standard
Consumption
"S" (kWh)
Penetration
(% Access)
"p"
Computed
Consumption
"Ea" (kWh)=
'S*'p'
Penetration
"p"
4,860
5%
247
1%
300
17%
51
Dishwasher (cycle)
438
12%
Washing
Machine(cycle)
Iron Box
156
Urban LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
31
0%
0
13%
40
3%
10
52
0%
0
0%
0
49%
77
2%
3
0%
0
195
98%
192
96%
188
84%
164
Built in oven
72
29%
21
3%
2
0%
0
Deep fryer
94
25%
24
5%
5
0%
0
Electric Cooker
61
61%
37
9%
6
0%
0
Extractor hood
33
5%
2
1%
0
0%
0
Microwave oven
51
85%
43
33%
17
0%
0
Rice cooker
26
29%
7
6%
2
0%
0
100
56%
56
20%
20
0%
0
Computer monitor
50
54%
27
21%
10
3%
2
Computer Printer
2
42%
1
9%
0
0%
0
Computer Scanner
1
29%
0
4%
0
0%
0
DVD Player
35
85%
30
79%
28
65%
23
Home Theater System
70
29%
20
32%
22
16%
11
House telephone
10
27%
3
4%
0
0%
0
220
86%
190
35%
77
0%
0
Mobile charger(s)
1
100%
1
100%
1
100%
1
Satellite Decoder
125
58%
72
11%
14
0%
0
75
54%
41
45%
33
48%
36
Air conditioning
system
Fan
Computer (CPU)
Laptop
Stereo
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
90
Urban HI
Appliance
Urban MI
Standard
Consumption
"S" (kWh)
Penetration
(% Access)
"p"
Computed
Consumption
"Ea" (kWh)=
'S*'p'
Penetration
"p"
Television set
220
98%
216
93%
TV Set –top box
133
3%
5
VCD Player
50
27%
VCR Player
50
19%
Video Game Console
30
Gym Equipment
Urban LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
205
90%
199
9%
13
0%
0
14
17%
8
6%
3
9
8%
4
3%
2
0%
0
0%
0
0%
0
104
7%
7
1%
1
0%
0
Jaccuzi - spa
101
2%
2
0%
0
0%
0
Sauna or steam
390
3%
13
0%
0
0%
0
Swimming pool
108
12%
13
0%
0
0%
0
1
32%
0
9%
0
3%
0
Hair dryers
26
34%
9
8%
2
3%
1
Vacuum cleaner
90
36%
32
3%
2
0%
0
Fan heaters
81
15%
12
2%
2
0%
0
Lighting HI
904
100%
904
0%
0
0%
0
Lighting MI
352
0%
0
100%
352
0%
0
Lighting LI
135
0%
0
0%
0
100%
135
15
49%
7
31%
5
29%
4
freezer large
600
19%
112
1%
4
0%
0
freezer medium
400
20%
81
8%
33
0%
0
freezer small
125
8%
11
2%
2
0%
0
Refrigerator large
500
58%
288
18%
88
0%
0
Refrigerator medium
250
47%
119
36%
91
6%
16
90
5%
5
7%
6
6%
6
1,000
44%
441
3%
25
0%
0
Electric shaver
Rechargeable torch
Refrigerator small
Geyser heater
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
91
Urban HI
Appliance
Urban MI
Standard
Consumption
"S" (kWh)
Penetration
(% Access)
"p"
Computed
Consumption
"Ea" (kWh)=
'S*'p'
Penetration
"p"
Immersion heater
137
14%
19
20%
Instant shower heater
639
69%
444
Blender/Juicer
4
80%
Bread Toaster
29
66%
Coffee maker
146
29%
Electric kettle
137
Water dispenser
Water booster
pump(s)
Total
Urban LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
28
16%
22
38%
245
0%
0
3
28%
1
6%
0
19
25%
7
0%
0
42
3%
5
0%
0
73%
100
23%
31
6%
9
423
44%
187
13%
56
0%
0
91
46%
42
7%
6
0%
0
4347
Eaim
1721
Eail
642
Eaih
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
92
Appendix 10 Calculated Consumption of appliances - Rural
Appliance
Rural HI
Standard
Consumption
"s" (kWh)
Rural MI
Rural LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
4,860
0%
0.00
0%
0.00
0%
Fan
300
Dishwasher (cycle)
438
Washing Machine(cycle)
156
6%
0%
3%
18.75
0.00
4.88
0%
0%
0%
0.00
0.00
0.00
0%
0%
0%
Air conditionning system
Iron Box
195
Built in oven
72
Deep fryer
94
Electric Cooker
61
Extractor hood
33
Microwave oven
51
Rice cooker
26
Computer (CPU)
Computer monitor
100
50
Computer Printer
2
Computer Scanner
1
DVD Player
35
Home Theater System
70
House telephone
Laptop
10
220
Mobile charger(s)
1
Satellite Decoder
125
Stereo
75
59%
3%
3%
16%
0%
9%
0%
0%
6%
0%
0%
63%
3%
6%
9%
100%
16%
38%
115.78
2.25
2.93
9.56
0.00
4.79
0.00
0.00
3.13
0.00
0.00
21.88
2.19
0.63
20.63
0.61
19.53
28.13
70%
0%
0%
0%
0%
9%
0%
0%
9%
4%
0%
63%
2%
6%
6%
100%
13%
50%
137.22
0.00
0.00
0.00
0.00
4.73
0.00
0.00
4.63
0.09
0.00
22.04
1.30
0.56
12.22
0.61
16.20
37.50
19%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
6%
0%
0%
100%
0%
31%
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
0
0
0
0
36.5625
0
0
0
0
0
0
0
0
0
0
0
4.375
0
0
0.61
0
23.4375
93
Appliance
Rural HI
Standard
Consumption
"s" (kWh)
Television set
220
TV Set –top box
133
VCD Player
50
VCR Player
50
Video Game Console
30
Gym Equipment
104
Jaccuzi - spa
101
Sauna or steam
390
Swimming pool
108
Electric shaver
1
Hair dryers
26
Vacuum cleaner
90
Fan heaters
81
Lighting HI
904
Lighting MI
352
Lighting LI
135
Rechargeable torch
15
freezer large
600
freezer medium
400
freezer small
125
Refrigerator large
500
Refrigerator medium
250
Refrigerator small
Geyser heater
90
1,000
Rural MI
Rural LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
78%
3%
6%
0%
0%
0%
0%
0%
0%
0%
6%
0%
0%
100%
0%
0%
56%
0%
0%
3%
3%
25%
6%
0%
171.88
4.16
3.13
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1.63
0.00
0.00
904.00
0.00
0.00
8.21
0.00
0.00
3.91
15.63
62.50
5.63
0.00
83%
6%
11%
4%
0%
0%
0%
0%
0%
4%
2%
0%
0%
0%
100%
0%
41%
2%
2%
0%
6%
19%
4%
0%
183.33
7.39
5.56
1.85
0.00
0.00
0.00
0.00
0.00
0.04
0.48
0.00
0.00
0.00
352.00
0.00
5.95
11.11
7.41
0.00
27.78
46.30
3.33
0.00
19%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
100%
0%
0%
0%
0%
0%
0%
0%
0%
41.25
0
0
0
0
0
0
0
0
0
0
0
0
0
0
135
0
0
0
0
0
0
0
0
94
Appliance
Rural HI
Standard
Consumption
"s" (kWh)
Immersion heater
137
Instant shower heater
639
Blender/Juicer
4
Bread Toaster
29
Coffee maker
146
Electric kettle
137
Water dispenser
423
Water booster pump(s)
91
Rural MI
Rural LI
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
Penetration
"p"
Computed
Consumption
"Ea" (kWh)=
'S'*'p'
6%
9%
19%
6%
0%
6%
3%
6%
8.56
59.88
0.80
1.83
0.00
8.56
13.23
5.70
13%
0%
7%
2%
0%
4%
0%
0%
17.74
0.00
0.32
0.54
0.00
5.07
0.00
0.00
0%
0%
0%
0%
0%
0%
0%
0%
0
0
0
0
0
0
0
0
Total
Eaih
1,535
Eaim
913
Eail
241
95
Appendix 11 Adjusted Specific consumption of appliances - Urban
Appliance
Income Group
Hi
Adjustment factor "a"
Standard Consumption
(kWh)/year "S"
Air conditioning system
4,860
Fan
300
Dishwasher (cycle)
438
Washing Machine(cycle)
156
Iron Box
195
Built in oven
72
Deep fryer
94
Electric Cooker
61
Extractor hood
33
Microwave oven
51
Rice Cooker
26
Computer (CPU)
100
Computer monitor
50
Computer Printer
2
Computer Scanner
1
DVD Player
35
Home Theater System
70
House telephone
10
Laptop
220
Mobile charger(s)
1
Satellite Decoder
125
Stereo
75
Television set
220
TV Set –top box
133
VCD Player
50
VCR Player
50
Video Game Console
30
Gym Equipment
104
Jaccuzi - spa
101
Sauna or steam
390
Swimming pool
108
Electric shaver
1
Hair dryers
26
Mi
1.33
Li
0.95
0.70
Adjusted Specific
Consumption (kWh)/ year
("a"*"S")
6,447
398
4,638
286
3,412
211
581
207
259
96
124
81
44
68
34
133
66
3
1
46
93
13
292
1
166
99
292
176
66
66
40
138
135
517
143
1
34
771
149
186
69
89
58
31
49
25
95
48
2
1
33
67
10
210
1
119
72
210
127
48
48
29
99
97
372
103
1
25
308
110
137
51
66
43
23
36
18
70
35
2
1
25
49
7
154
0
88
53
154
93
35
35
21
73
71
274
76
1
18
96
Appliance
Income Group
Hi
Adjustment factor "a"
Standard Consumption
(kWh)/year "S"
Vacuum cleaner
90
Fan heaters
81
Lighting HI
904
Lighting MI
352
Lighting LI
135
Rechargeable torch
15
freezer large
600
freezer medium
400
freezer small
125
Refrigerator large
500
Refrigerator medium
250
Refrigerator small
90
Geyser heater
1,000
Immersion heater
137
Instant shower heater
639
Blender/Juicer
4
Bread Toaster
29
Coffee maker
146
Electric kettle
137
Water dispenser
423
Water booster pump(s)
91
Mi
1.33
Li
0.95
0.70
Adjusted Specific
Consumption (kWh)/ year
("a"*"S")
119
107
1,199
86
77
336
19
796
531
166
663
332
119
1,327
182
847
6
39
194
182
562
121
14
573
382
119
477
239
86
954
131
610
4
28
139
131
404
87
63
57
635
247
95
10
421
281
88
351
176
63
702
96
448
3
21
103
96
297
64
97
Appendix 12 Adjusted Specific consumption of appliances - Rural
Appliance
Income Group
Hi
Adjustment factor
"a"
Standard
Consumption
(kWh)/year "S"
Air conditioning system
Fan
Dishwasher (cycle)
Washing Machine(cycle)
Iron Box
Built in oven
Deep fryer
Electric Cooker
Extractor hood
Microwave oven
Rice Cooker
Computer (CPU)
Computer monitor
Computer Printer
Computer Scanner
DVD Player
Home Theater System
House telephone
Laptop
Mobile charger(s)
Satellite Decoder
Stereo
Television set
TV Set –top box
VCD Player
VCR Player
Video Game Console
Gym Equipment
Jaccuzi - spa
Sauna or steam
Swimming pool
Electric shaver
4,860
300
438
156
195
72
94
61
33
51
26
100
50
2
1
35
70
10
220
1
125
75
220
133
50
50
30
104
101
390
108
1
Mi
1.06
Li
0.80
0.90
Adjusted Specific
Consumption (kWh)/ year;
Sa =("a"*"S")
5,174
319
3,901
241
4,392
271
466
166
208
77
100
65
35
54
28
106
53
3
1
37
75
11
234
1
133
80
234
142
53
53
32
111
108
415
115
1
352
125
157
58
75
49
26
41
21
80
40
2
1
28
56
8
177
0
100
60
177
107
40
40
24
83
81
313
87
1
396
141
176
65
85
55
30
46
23
90
45
2
1
32
63
9
199
1
113
68
199
120
45
45
27
94
92
352
98
1
98
Appliance
Income Group
Hi
Adjustment factor
"a"
Standard
Consumption
(kWh)/year "S"
Hair dryers
Vacuum cleaner
Fan heaters
Lighting HI
Lighting MI
Lighting LI
Rechargeable torch
freezer large
freezer medium
freezer small
Refrigerator large
Refrigerator medium
Refrigerator small
Geyser heater
Immersion heater
Instant shower heater
Blender/Juicer
Bread Toaster
Coffee maker
Electric kettle
Water dispenser
Water booster pump(s)
26
90
81
904
352
135
15
600
400
125
500
250
90
1,000
137
639
4
29
146
137
423
91
Mi
1.06
Li
0.80
0.90
Adjusted Specific
Consumption (kWh)/ year;
Sa =("a"*"S")
28
96
86
962
375
144
16
639
426
133
532
266
96
1,065
146
680
5
31
155
146
451
97
21
72
65
726
283
108
12
482
321
100
401
201
72
803
110
513
3
23
117
110
340
73
23
81
73
817
318
122
13
542
361
113
452
226
81
904
124
577
4
26
132
124
383
82
99
Appendix 13 Adjusted Consumption of appliances - Urban households
Appliance
Air conditioning
system
Fan
Dishwasher (cycle)
Washing Machine
(cycle)
Iron Box
Built in oven
Deep fryer
Electric Cooker
Extractor hood
Microwave oven
Rice Cooker
Computer (CPU)
Computer monitor
Computer Printer
Computer Scanner
DVD Player
Home Theater System
House telephone
Laptop
Mobile charger(s)
Satellite Decoder
Urban HI
Adjusted
Access
Specific
level
Consumption (%)"p"
(Kwh/year)
"Sa"
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
Adjusted
Specific
Consumption
(Kwh/year)
"Sa"
Urban MI
Access
level
(%)"p"
6,447
5%
328
398
581
207
17%
67
69
102
286 13%
259
96
124
81
44
68
34
133
66
3
1
46
93
13
292
1
166
98%
254
28
32
50
2
57
10
74
36
1
0
39
27
4
252
1
96
186
69
89
58
31
49
25
95
48
2
1
33
67
10
210
1
119
12%
49%
29%
25%
61%
5%
85%
29%
56%
54%
42%
29%
85%
29%
27%
86%
100%
58%
4,638 1%
0%
149 2%
96%
3%
5%
9%
1%
33%
6%
20%
21%
9%
4%
79%
32%
4%
35%
100%
11%
Urban LI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(Kwh/year)
"Sa"*"p"
"Sa"
29
3,412 0%
0
38
0
3
211 3%
308 0%
110 0%
7
0
0
179
2
4
6
0
16
2
19
10
0
0
26
21
0
74
1
14
137
51
66
43
23
36
18
70
35
2
1
25
49
7
154
0
88
84%
115
0
0
0
0
0
0
0
1
0
0
16
8
0
0
0
0
0%
0%
0%
0%
0%
0%
0%
3%
0%
0%
65%
16%
0%
0%
100%
0%
100
Appliance
Stereo
Television set
TV Set –top box
VCD Player
VCR Player
Urban HI
Adjusted
Access
Specific
level
Consumption (%)"p"
(Kwh/year)
"Sa"
99
292
176
66
66
Video Game Console
Gym Equipment
Jacuzzi - spa
Sauna or steam
Swimming pool
Electric shaver
Hair dryers
Vacuum cleaner
Fan heaters
Lighting HI
54%
98%
3%
27%
19%
0%
138
135
517
143
1
34
119
107
1,199
7%
2%
3%
12%
32%
34%
36%
15%
100%
Lighting MI
0%
Lighting LI
0%
Rechargeable torch
49%
freezer large
freezer medium
freezer small
Refrigerator large
Refrigerator medium
19
796
531
166
663
332
19%
20%
8%
58%
47%
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
54
287
6
18
12
0
9
2
18
17
0
12
42
16
1199
0
0
10
148
108
14
382
157
Adjusted
Specific
Consumption
(Kwh/year)
"Sa"
72
210
127
48
48
Urban MI
Access
level
(%)"p"
45%
93%
9%
17%
8%
0%
99 1%
0%
0%
0%
1
25
86
77
9%
8%
3%
2%
0%
336 100%
0%
14
573
382
119
477
239
31%
1%
8%
2%
18%
36%
Urban LI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(Kwh/year)
"Sa"*"p"
"Sa"
32
195
12
8
4
0
1
0
0
0
0
2
2
1
0
336
0
4
4
31
2
84
87
53
154
93
35
35
21
73
71
274
76
1
18
63
57
635
247
95
10
421
281
88
351
176
48%
25
140
0
2
1
0
0
0
0
0
0
1
0
0
0
0
95
3
0
0
0
0
11
90%
0%
6%
3%
0%
0%
0%
0%
0%
3%
3%
0%
0%
0%
0%
100%
29%
0%
0%
0%
0%
6%
101
Appliance
Urban HI
Adjusted
Access
Specific
level
Consumption (%)"p"
(Kwh/year)
"Sa"
Refrigerator small
Geyser heater
Immersion heater
Instant shower heater
Blender/Juicer
Bread Toaster
Coffee maker
Electric kettle
Water dispenser
Water booster
pump(s)
119
1,327
182
847
6
39
194
182
562
121
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
5%
6
585
25
589
5
26
56
132
248
55
44%
14%
69%
80%
66%
29%
73%
44%
46%
Adjusted
Specific
Consumption
(Kwh/year)
"Sa"
86
954
131
610
4
28
139
131
404
87
Urban MI
Access
level
(%)"p"
Urban LI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(Kwh/year)
"Sa"*"p"
"Sa"
7%
6
24
26
234
1
7
4
30
53
6
3%
20%
38%
28%
25%
3%
23%
13%
7%
63
702
96
448
3
21
103
96
297
64
6%
4
0
15
0
0.19
0
0
6
0
0
0%
16%
0%
6%
0%
0%
6%
0%
0%
Total Consumption/ year
5,767
1,642
451
102
Appendix 14 Adjusted consumption of appliances - Rural households
Appliance
Adjusted Specific
Consumption
(kWh/year) "Sa"
Air conditionning system
Fan
Dishwasher (cycle)
Washing Machine(cycle)
Iron Box
Built in oven
Deep fryer
Electric Cooker
Extractor hood
Microwave oven
Rice Cooker
Computer (CPU)
Computer monitor
Computer Printer
Computer Scanner
DVD Player
Home Theater System
House telephone
Laptop
Mobile charger(s)
Satellite Decoder
Stereo
Rural HI
Access
level
(%)"p"
5,174
319
466
166
208
77
100
65
35
54
28
106
53
3
1
37
75
11
234
1
133
80
0%
6%
0%
3%
59%
3%
3%
16%
0%
9%
0%
0%
6%
0%
0%
63%
3%
6%
9%
100%
16%
38%
Rural MI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(kWh/year)
"Sa"*"p"
"Sa"
0
20
0
5
123
2
3
10
0
5
0
0
3
0
0
23
2
1
22
1
21
30
3,901
241
352
125
157
58
75
49
26
41
21
80
40
2
1
28
56
8
177
0
100
60
0%
0%
0%
0%
70%
0%
0%
0%
0%
9%
0%
0%
9%
4%
0%
63%
2%
6%
6%
100%
13%
50%
0
0
0
0
110
0
0
0
0
4
0
0
4
0
0
18
1
0
10
0
13
30
Rural LI
Adjusted
Access
Specific
level
Consumption (%)"p"
(kWh/year)
"Sa"
4,392
271
396
141
176
65
85
55
30
46
23
90
45
2
1
32
63
9
199
1
113
68
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
0%
0%
0%
0%
19%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
6%
0%
0%
100%
0%
31%
0
0
0
0
33
0
0
0
0
0
0
0
0
0
0
0
4
0
0
1
0
21
103
Appliance
Adjusted Specific
Consumption
(kWh/year) "Sa"
Television set
TV Set –top box
VCD Player
VCR Player
Video Game Console
Gym Equipment
Jaccuzi - spa
Sauna or steam
Swimming pool
Electric shaver
Hair dryers
Vacuum cleaner
Fan heaters
Lighting HI
Lighting MI
Lighting LI
Rechargeable torch
freezer large
freezer medium
freezer small
Refrigerator large
Refrigerator medium
Refrigerator small
Rural HI
Access
level
(%)"p"
234
142
53
53
32
111
108
415
115
1
28
96
86
962
375
144
16
639
426
133
532
266
96
78%
3%
6%
0%
0%
0%
0%
0%
0%
0%
6%
0%
0%
100%
0%
0%
56%
0%
0%
3%
3%
25%
6%
Rural MI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(kWh/year)
"Sa"*"p"
"Sa"
183
4
3
0
0
0
0
0
0
0
2
0
0
962
0
0
9
0
0
4
17
67
6
177
107
40
40
24
83
81
313
87
1
21
72
65
726
283
108
12
482
321
100
401
201
72
83%
6%
11%
4%
0%
0%
0%
0%
0%
4%
2%
0%
0%
0%
100%
0%
41%
2%
2%
0%
6%
19%
4%
147
6
4
1
0
0
0
0
0
0
0
0
0
0
283
0
5
9
6
0
22
37
3
Rural LI
Adjusted
Access
Specific
level
Consumption (%)"p"
(kWh/year)
"Sa"
199
120
45
45
27
94
92
352
98
1
23
81
73
817
318
122
13
542
361
113
452
226
81
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
19%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
0%
100%
0%
0%
0%
0%
0%
0%
0%
37
0
0
0
0
0
0
0
0
0
0
0
0
0
0
122
0
0
0
0
0
0
0
104
Appliance
Adjusted Specific
Consumption
(kWh/year) "Sa"
Geyser heater
Immersion heater
Instant shower heater
Blender/Juicer
Bread Toaster
Coffee maker
Electric kettle
Water dispenser
Water booster pump(s)
Total Consumption
Rural HI
Access
level
(%)"p"
1,065
146
680
5
31
155
146
451
97
0%
6%
9%
19%
6%
0%
6%
3%
6%
Rural MI
Consumption Adjusted
Access
Consumption
(kWh/year)
Specific
level
(kWh/year)
"Ea" =
Consumption (%)"p"
"Ea" =
"Sa"*"p"
(kWh/year)
"Sa"*"p"
"Sa"
0
9
64
1
2
0
9
14
6
1634
803
110
513
3
23
117
110
340
73
0%
13%
0%
7%
2%
0%
4%
0%
0%
0
14
0
0
0
0
4
0
0
Rural LI
Adjusted
Access
Specific
level
Consumption (%)"p"
(kWh/year)
"Sa"
904
124
577
4
26
132
124
383
82
Consumption
(kWh/year)
"Ea" =
"Sa"*"p"
0%
0%
0%
0%
0%
0%
0%
0%
0%
0
0
0
0
0
0
0
0
0
733
218
105
Appendix 15 Household appliances ownership and usage survey results
NO.
Location
of the
househol
d
Name of the
area or
Estate
001
rural
ruthimitu
002
rural
ruthimitu
003
rural
ruthimitu
004
rural
ruthimitu
005
rural
ruthimitu
006
rural
ruthimitu
007
rural
ruthimitu
008
rural
ruthimitu
009
rural
ruthimitu
010
rural
ruthimitu
011
rural
ruthimitu
012
rural
ruthimitu
013
rural
ruthimitu
014
rural
ruthimitu
015
rural
ruthimitu
016
rural
ruthimitu
017
rural
Ruthimitu
018
rural
Ruthimitu
019
rural
Ruthimitu
020
rural
Ruthimitu
021
rural
Ruthimitu
022
rural
Ruthimitu
Account
number
003828601
238465301
273690801
353144601
229408801
328192301
003825101
283144001
201996001
236648202
247438101
250608001
227341901
004115101
310691001
003829201
220183601
321075401
328193401
003822901
38238
201996401
Meter
number
6632
6026547
8
9875145
6028604
1
2046116
8
2066339
4
6063222
3
6093750
8
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
1
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
252837
9439904
106
NO.
Location
of the
househol
d
Name of the
area or
Estate
023
rural
Ruthimitu
024
rural
Ruthimitu
025
rural
KAUMONI
026
rural
KAUMONI
027
rural
KAUMONI
028
rural
KAUMONI
029
rural
KAUMONI
030
rural
KAUMONI
031
rural
KAUMONI
032
rural
KAUMONI
033
rural
KAUMONI
034
rural
KAUMONI
035
rural
KAUMONI
036
rural
KAUMONI
037
rural
KAUMONI
038
rural
KAUMONI
039
rural
KAUMONI
040
rural
KAUMONI
041
rural
KAUMONI
042
rural
KAUMONI
043
rural
KAUMONI
044
rural
KAUMONI
045
rural
kilala
Account
number
004161001
354139301
341875001
270831801
259644001
272761601
314272101
271695501
274248601
272996301
343147701
271485701
252266501
270989201
252453501
26666801
-01
270832001
252452201
287359801
311245401
252454001
227289101
Meter
number
9514344
6054330
4
6022680
9
6016496
1
6016495
3
6039053
6092976
3
6015560
9
6015562
6
6021650
6
6022680
1
6015559
6
6064777
2
6021652
1
6029298
5
6058026
8
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2020066
107
NO.
Location
of the
househol
d
Name of the
area or
Estate
046
rural
kilala
047
rural
kilala
048
rural
kilala
049
rural
kilala
050
rural
kilala
051
rural
kilala
052
rural
kilala
053
rural
kilala
054
rural
kilala
055
rural
kilala
056
rural
MAKONGO
057
rural
MAKONGO
058
rural
MAKONGO
059
rural
MAKONGO
060
rural
MAKONGO
061
rural
MAKONGO
062
rural
MAKONGO
063
rural
KIVANI
064
rural
KIVANI
065
rural
KIVANI
066
rural
KIVANI
067
rural
KIVANI
068
rural
KIVANI
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
244209101
227304001
277976901
227308701
227308601
227287201
329662601
227188801
305259101
227304001
344749901
300589201B
349270301
349273501
227448901
226950901
300589201A
279828001
292485301
325061601
363912301
314712701
325061301
2066393
0
2020001
7
2030399
3
2034239
6
2020056
5
2020083
6
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2020058
9
9523618
2020076
0
6006889
2
2042600
2
6044414
0
2020083
9
2020004
2
6033169
5
6033920
4
6036704
7
6063255
9
6115009
0
6058568
0
6063254
2
108
NO.
Location
of the
househol
d
Name of the
area or
Estate
069
rural
KIVANI
070
rural
KIVANI
071
rural
KIVANI
072
rural
KIVANI
073
rural
KIVANI
074
rural
UKIA-UTAATI
075
rural
UKIA-UTAATI
076
rural
UKIA-UTAATI
077
rural
UKIA-UTAATI
078
rural
UKIA-UTAATI
079
rural
UKIA-UTAATI
080
rural
UKIA-UTAATI
081
rural
KYUASINI
082
rural
KYUASINI
083
rural
KYUASINI
084
rural
IKUA-UTAATI
085
rural
IKUA-UTAATI
086
rural
IKUA-UTAATI
087
rural
IKUA-UTAATI
088
rural
IKUA-UTAATI
089
rural
IKUA-UTAATI
090
rural
IKUA-UTAATI
091
rural
IKUA-UTAATI
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
330157401
266690501
340530701
298600501
358933901
301175801
227233701
6093500
8
6035455
7
6089389
4
6032620
6
6114558
8
6034356
6
2030091
1
6024285
1
6089616
4
2054029
6
2034242
5
2066976
8
6115039
3
6115008
4
6087067
5
6092773
8
2045251
9
2020085
0
2020056
4
6015820
3
6089617
4
6093501
2
6114538
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
339372401
239530401
233966001
246017001
360984801
337183601
236744501
227233502
271958501
339372501
334036301
109
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
092
rural
264775101
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
rural
ituka
2648480
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
094
rural
ituka
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
095
rural
ituka
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
096
rural
MUKUYUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
097
rural
MUKUYUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
098
rural
MUKUYUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
099
rural
NZUUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
100
rural
MUKUYUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
101
rural
MUKUYUNI
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
102
rural
MUKUYUNI
NOX
NOX
NOX
NOX
0
NOX
0
NOX
1
NOX
NOX
NOX
NOX
103
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
104
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
105
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
106
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
107
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
108
urban
Savanah
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
1
1
NOX
109
urban
Savanah
2863389
287664001
227124701
258328501
239244701
311021701
33354488
-01
227169001
231480901
008402801
295431901
008412201
305874101
008411501
008400501
008408401
6011881
9
6011158
5
6027983
7
6023336
3
NOX
ituka
093
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
110
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
2
2
NOX
111
urban
Savanah
NOX
NOX
NOX
1
0
1
1
NOX
1
1
1
1
1
112
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
113
urban
Savanah
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
114
urban
Savanah
76519-16
008324101
84140-06
201469001
008396701
6007284
4
6100287
4
2020023
6
2038485
6
381531
7842973
5
9847566
6045168
4
2003566
4
435508
387025
941795
430885
9720404
334914
110
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
115
urban
Njiru
6081399
6
5000398
9
6062132
8
2010922
54
6085243
1
6035448
6
6059772
6
6046939
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
NOX
0
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
1
1
1
1
Kileleshwa
326515101
247333701
323730001
275015601
329793301
252836301
312764707
288988201
326515001
323730301
347022601
346780101
210874502
116
urban
Njiru
117
urban
Njiru
118
urban
Njiru
119
urban
Njiru
120
urban
Njiru
121
urban
Njiru
122
urban
Njiru
123
urban
Njiru
124
urban
Njiru
125
urban
Njiru
126
urban
Njiru
127
urban
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
1
1
1
1
urban
Kileleshwa
2896882
9954581
6032371
7
128
NOX
2
NOX
NOX
2
NOX
NOX
NOX
1
NOX
1
1
1
129
urban
Kileleshwa
251800
9540586
NOX
NOX
NOX
NOX
NOX
NOX
0
NOX
1
NOX
NOX
NOX
NOX
130
urban
Kileleshwa
NOX
NOX
NOX
1
0
NOX
1
NOX
1
1
NOX
NOX
1
131
urban
Kileleshwa
NOX
NOX
NOX
1
0
NOX
0
NOX
1
1
NOX
NOX
NOX
132
urban
Kyuna
NOX
NOX
NOX
NOX
0
NOX
0
NOX
0
NOX
NOX
NOX
NOX
133
urban
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
134
urban
Kyuna
MLANGO
KUBWA
NOX
NOX
1
1
0
NOX
1
NOX
1
1
1
1
1
135
urban
Kileleshwa
2001398
026573121
226559501
250765702
3159661 01
024462111
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
136
urban
Muthaiga
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
2
2
1
137
urban
Muthaiga
2390492
008620101
6065582
8
6088098
8
6090953
7
2052455
2
9123840
111
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
138
urban
Kyuna
139
urban
Kileleshwa
140
urban
Kileleshwa
210874301
251139801
141
urban
Kyuna
247726
142
urban
Kyuna
231779
239049102
143
urban
Muthaiga
144
urban
Muthaiga
145
urban
Kileleshwa
146
urban
Kyuna
147
urban
Kyuna
148
urban
Muthaiga
90179-01
22511931
-01
023174202
024656203
008464701
149
urban
Muthaiga
2389349
150
urban
Muthaiga
151
urban
Kileleshwa
152
urban
Kileleshwa
2044364
207394903
207395201
153
urban
Kileleshwa
154
urban
Muthaiga
2829734
238934801
155
urban
Kyuna
2189997
156
urban
Muthaiga
157
urban
Kileleshwa
158
urban
Kileleshwa
236548501
001205301
159
urban
Kileleshwa
231701
160
urban
Muthaiga
161
urban
Muthaiga
2390493
344351701
Meter
number
9955138
2004690
6
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
1
NOX
1
1
1
1
NOX
1
NOX
2
2
2
2
NOX
NOX
NOX
2
NOX
2
NOX
2
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
1
NOX
1
1
1
1
1
NOX
NOX
1
1
NOX
1
1
1
NOX
NOX
1
1
1
1
1
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
1
NOX
NOX
NOX
1
1
1
1
NOX
1
NOX
1
1
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
1
1
1
1
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
1
1
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
1
NOX
1
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
1
NOX
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
1
NOX
465669
43939
2052455
1
6025142
0
9849301
9708272
2045512
8
9120762
2052486
8
9738321
9848783
9864924
6100011
2
2052486
7
2008271
8
6026728
4
2042350
2
96041
2008007
5
2052455
3
6102336
8
112
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
162
urban
Muthaiga
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
1
1
2
NOX
NOX
NOX
NOX
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
1
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
1
1
1
1
NOX
urban
Kyuna
2171313
NOX
NOX
1
1
1
NOX
1
NOX
1
NOX
3
3
NOX
166
urban
Kyuna
246593
NOX
NOX
NOX
1
1
1
1
NOX
1
1
NOX
NOX
NOX
167
urban
Kyuna
2171148
2003941
7
2044126
1
2011121
6
2007841
1
2031620
7
2007560
5
NOX
Kileleshwa
009069001
236549101
001206302
163
urban
Kileleshwa
164
urban
165
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
NOX
1
168
urban
Kyuna
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
169
urban
MOWLEM
184431
247442001
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
170
urban
MOWLEM
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
171
urban
MOWLEM
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
172
urban
MOWLEM
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
173
urban
MOWLEM
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
174
urban
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
175
urban
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
176
urban
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
177
urban
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
178
urban
MOWLEM
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
179
urban
LAINI SABA
180
urban
DANDORA
181
urban
DANDORA
182
urban
DANDORA
183
urban
DANDORA
184
urban
DANDORA
2549350
275163401
2973749
265139501
322434601
023988601
3159661 01
26010801
3292597 01
35026001
216619801
230802501
295727901
229299201
159621
2051386
0
2068283
6
6018192
8
6032713
7
6011405
5
6062174
6
2068580
8
2006975
7
2032362
0
6037024
8
2032592
0
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
113
NO.
Location
of the
househol
d
Name of the
area or
Estate
185
urban
DANDORA
186
urban
DANDORA
187
urban
MOWLEM
188
urban
MOWLEM
189
urban
MOWLEM
190
urban
MOWLEM
191
urban
MOWLEM
192
urban
DANDORA
193
urban
DANDORA
194
urban
DANDORA
195
urban
DANDORA
196
urban
DANDORA
197
urban
DANDORA
198
urban
Kaloleni
199
urban
Kaloleni
200
urban
Kaloleni
201
urban
Kaloleni
202
urban
Kaloleni
203
urban
Kaloleni
204
urban
Shauri Moyo
205
urban
Shauri Moyo
206
urban
Shauri Moyo
207
urban
Shauri Moyo
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
299134701
6033800
5
2064689
0
6041777
3
2049901
4
6086559
9
6091915
5
6077943
4
2064048
1
2032590
7
2032591
8
2032590
4
6062098
2
6063368
1
2068345
6
2009048
4
J246950
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
2505807
292645601
352901501
344466001
339086801
318094701
350263501
229300901
229300101
229301201
328320401
328319801
016063501
16062101
16061601
212325301
16802301
242500701
028267202
028300202
028272702
028266502
144253
2046550
7
186343
433858
341039
292465
114
NO.
Location
of the
househol
d
Name of the
area or
Estate
208
urban
Shauri Moyo
209
urban
Shauri Moyo
210
urban
Shauri Moyo
211
urban
Kaloleni
212
urban
Makongeni
213
urban
Makongeni
214
urban
Makongeni
215
urban
Makongeni
216
urban
Makongeni
217
urban
Shauri Moyo
218
urban
Shauri Moyo
219
urban
Shauri Moyo
220
urban
Shauri Moyo
221
urban
Shauri Moyo
222
urban
NGARA
223
urban
NGARA
224
urban
225
urban
226
urban
227
urban
NGARA
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
228
urban
NGARA WEST
229
urban
NGARA WEST
230
urban
NGARA WEST
Account
number
028267002
028273803
028272602
016038001
016055101
016042501
016039801
299845901
208617801
28297505
028921001
02237020
-01
028299101
292343
345830301
345828001
345326701
294969101
007427301
294967601
009055901
011217603
011217702
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
1
1
1
3
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
322379
315520
2009141
7
2008212
1
146162
2011205
6
6036143
8
9842250
433905
28296701
6086603
8
6086740
8
6086603
7
6031872
3
74136
6031873
9
9342040
2009567
7
2007948
9
115
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
013630702
204593104
204592501
90555801
006031201
011219702
204592902
013630602
204592001
203496102
023886602
207626402
294967101
294969001
312843401
323417001
221274601
336189701
356253701
346741301
353455801
356254301
339546601
231
urban
232
urban
233
urban
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
234
urban
NGARA
235
urban
NGARA
236
urban
237
urban
238
urban
239
urban
NGARA
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
240
urban
NGARA
241
urban
NGARA
242
urban
243
urban
244
urban
245
urban
246
urban
247
urban
248
urban
249
urban
250
urban
251
urban
NGARA
MLANGO
KUBWA
MLANGO
KUBWA
MLANGO
KUBWA
Mathare
North
Mathare
North
Mathare
North
Mathare
North
Mathare
North
Mathare
North
252
urban
Area 1
253
urban
Drive in
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
2
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
367779
9737846
2011761
3
9334836
9340862
668336
9738047
372578
9708437
6031873
2
6031872
4
6080681
6
2022357
3
6095274
7
9845235
6089493
9
2003511
3
9676518
6095804
1
116
NO.
Location
of the
househol
d
Name of the
area or
Estate
254
urban
Drive in
255
urban
Area 1
256
urban
Drive in
257
urban
258
urban
Area 1
Garden
Estate
259
urban
260
urban
261
urban
262
urban
263
urban
264
urban
265
urban
266
urban
267
urban
268
urban
269
urban
270
urban
271
urban
272
urban
Garden Lane
Garden
Estate
Garden
Estate
Kirinyaga
Lane
Garden
Estate Road
Garden
Estate
Garden
Estate
Garden
Estate
Garden
Estate
Garden
Estate
Garden
Estate
HIGHVIE
PHASE 2
HIGHVIE
PHASE 3
HIGHVIE
PHASE 4
273
urban
LENANA
274
urban
LENANA
275
urban
276
urban
LENANA
HIGHVIE
PHASE 2
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
342318001
353457101
342321401
221273601
008205401
6096446
8
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
2
1
1
NOX
1
1
3
3
1
NOX
1
NOX
1
NOX
NOX
1
NOX
1
1
2
1
1
NOX
2
1
1
NOX
1
2
NOX
2
NOX
2
2
1
NOX
NOX
NOX
1
1
NOX
1
NOX
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
NOX
2
NOX
NOX
NOX
1
1
NOX
1
NOX
1
1
1
1
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
2
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
0
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
0
NOX
NOX
0
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
87817-03
008207301
219343901
200240502
214477501
223269401
2423041
2592085
257798201
9331703
6096447
2
2023208
8
153101
2009764
5
244673
2023999
5
2044863
5
6007615
8
6004578
9
157221
2006012
1
14528637
0
14504922
18
14503274
48
237041801
007597001
295903501
14503773
69
2206732
40
2010297
5
6035759
1
117
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
14503154
35
14503846
88
285270501
253778801
00855447
-01
14503847
61
14504994
60
14504921
84
307641901
253778701
007597201
14507107
83
14502937
56
14503864
28
253779601
307642201
007598201
012287508
328225201
225014001
020509201
225011001
225013601
277
urban
278
urban
HIGHVIE
PHASE 3
HIGHVIE
PHASE 4
279
urban
LENANA
280
urban
LENANA
281
urban
282
urban
283
urban
284
urban
LENANA
HIGHVIE
PHASE 2
HIGHVIE
PHASE 3
HIGHVIE
PHASE 4
285
urban
LENANA
286
urban
LENANA
287
urban
288
urban
289
urban
290
urban
LENANA
HIGHVIE
PHASE 2
HIGHVIE
PHASE 3
HIGHVIE
PHASE 4
291
urban
LENANA
292
urban
LENANA
293
urban
LENANA
294
urban
Zimmerman
295
urban
Zimmerman
296
urban
Zimmerman
297
urban
Zimmerman
298
urban
Zimmerman
299
urban
Zimmerman
Meter
number
6051310
0
2068095
3
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
1
1
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
448820
2069575
5
6051151
9
2011609
9
6004342
1
6080773
0
2005143
7
9537509
340951
2009491
9
118
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
300
urban
Zimmerman
301
urban
Zimmerman
302
urban
Zimmerman
303
urban
Zimmerman
304
urban
Zimmerman
2621595
280284601
09933001
342655401
279216401
305
urban
Zimmerman
306
urban
Mwiki
307
urban
Mwiki
308
urban
Mwiki
309
urban
Mwiki
310
urban
Mwiki
311
urban
Mwiki
312
urban
Mwiki
313
urban
Mwiki
314
urban
Mwiki
315
urban
Mwiki
316
urban
Mwiki
317
urban
Mwiki
318
urban
Shauri Moyo
319
urban
Shauri Moyo
320
urban
Shauri Moyo
321
urban
Shauri Moyo
322
urban
Shauri Moyo
2802849
324732801
324733801
36168001
324733501
356168601
324733201
354908101
335601401
354909801
354908501
301159701
229813
28299603
29312602
029015302
26512001
200144202
Meter
number
6090944
4
6010007
9
6025855
1
6081830
9
6063638
0
6106850
6
6081830
6
6106850
1
6081831
9
6108054
4
6108061
3
6108054
0
6041637
4
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
706147
433849
433918
433842
427183
9731992
119
NO.
Location
of the
househol
d
Name of the
area or
Estate
323
urban
324
urban
325
urban
326
urban
327
urban
328
urban
329
urban
Shauri Moyo
Eastleigh
Airbase
Eastleigh
Airbase
Eastleigh
Airbase
Eastleigh
Airbase
Eastleigh
Airbase
Eastleigh
Airbase
330
urban
Eastleigh
331
urban
Eastleigh
332
urban
Eastleigh
333
urban
Eastleigh
334
urban
Eastleigh
335
urban
Eastleigh
336
urban
Shauri Moyo
337
urban
Shauri Moyo
338
urban
Shauri Moyo
339
urban
Shauri Moyo
340
urban
Shauri Moyo
341
urban
342
urban
343
urban
344
urban
345
urban
Shauri Moyo
MUGUMOINI
MUGUMOINI
MUGUMOINI
MUGUMOINI
Account
number
028298303
024441201
024436702
210529901
024435401
024435601
024452103
24441101
259289201
210527301
210530401
24432901
024435501
29260803
339601801
339598701
236636201
265372
028302204
42161909
28
015904401
15899901
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
2
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
440351
108254
6049921
5
9936937
2004122
3
383161
158618
6063455
2
9937399
7
9935509
38347
424701
6094492
3
6094072
5
2043715
4
439646
433861
2039033
9
9331163
4202169
563
120
NO.
Location
of the
househol
d
Name of the
area or
Estate
Account
number
Meter
number
Air
Conditione
r
Fan
Dishwasher
(cycle)
Washing
Machine(cycl
e)
Built in
oven
Deep
fryer
Elect
ric
Cook
er
Extractor
hood
Microw
ave
oven
Rice
cooker
Comput
er (CPU)
Computer
monitor
Computer
Printer
15901101
4216186
918
4217725
318
0420200
069-3
1450400
187
4218736
926
1450992
324
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
1
NOX
1
1
1
Meter
number
Computer
Scanner
DVD
Playe
r
Home
Theater
System
House
telephone
Laptop
Mobile
charger(s)
Satellite
Decoder
Stereo
Televisi
on set
TV Set –
top box
VCD
Player
VCR Player
Video
Game
Console
346
urban
347
urban
348
urban
349
urban
350
urban
351
urban
MUGUMOINI
MUGUMOINI
MUGUMOINI
MUGUMOINI
MUGUMOINI
MUGUMOINI
NO.
Location
of the
household
Name of
the area or
Estate
Account
number
001
rural
ruthimitu
003828601
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
1
NOX
NOX
002
rural
ruthimitu
238465301
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
003
rural
ruthimitu
273690801
NOX
1
NOX
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
004
rural
ruthimitu
353144601
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
1
NOX
NOX
005
rural
ruthimitu
229408801
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
006
rural
ruthimitu
328192301
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
007
rural
ruthimitu
003825101
6632
NOX
NOX
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
008
rural
ruthimitu
283144001
6026547
8
NOX
1
1
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
009
rural
ruthimitu
201996001
9875145
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
010
rural
ruthimitu
236648202
6028604
1
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
011
rural
ruthimitu
247438101
2046116
8
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
121
NO.
Location
of the
household
Name of
the area or
Estate
Account
number
Meter
number
Computer
Scanner
DVD
Playe
r
Home
Theater
System
House
telephone
Laptop
Mobile
charger(s)
Satellite
Decoder
Stereo
Televisi
on set
TV Set –
top box
VCD
Player
VCR Player
Video
Game
Console
012
rural
ruthimitu
250608001
2066339
4
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
013
rural
ruthimitu
227341901
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
014
rural
ruthimitu
004115101
NOX
1
NOX
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
015
rural
ruthimitu
310691001
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
016
rural
ruthimitu
003829201
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
017
rural
Ruthimitu
220183601
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
018
rural
Ruthimitu
321075401
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
019
rural
Ruthimitu
328193401
6063222
3
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
020
rural
Ruthimitu
003822901
6093750
8
NOX
1
NOX
3
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
021
rural
Ruthimitu
38238
252837
NOX
1
NOX
3
NOX
3
NOX
NOX
2
NOX
NOX
NOX
NOX
022
rural
Ruthimitu
201996401
9439904
NOX
1
NOX
2
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
023
rural
Ruthimitu
004161001
9514344
NOX
2
NOX
5
NOX
5
NOX
NOX
2
NOX
NOX
NOX
NOX
024
rural
Ruthimitu
354139301
6054330
4
NOX
1
NOX
3
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
025
rural
KAUMONI
341875001
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
026
rural
KAUMONI
270831801
6022680
9
NOX
1
NOX
NOX
NOX
10
1
NOX
1
NOX
NOX
NOX
NOX
027
rural
KAUMONI
259644001
6016496
1
NOX
1
NOX
NOX
NOX
5
1
NOX
1
NOX
1
NOX
NOX
028
rural
KAUMONI
272761601
6016495
3
NOX
1
NOX
NOX
NOX
5
1
NOX
NOX
1
NOX
NOX
NOX
029
rural
KAUMONI
314272101
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
030
rural
KAUMONI
271695501
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
031
rural
KAUMONI
274248601
NOX
NOX
NOX
NOX
NOX
2
1
NOX
1
NOX
NOX
NOX
NOX
122
NO.
Location
of the
household
Name of
the area or
Estate
Account
number
Meter
number
Computer
Scanner
DVD
Playe
r
Home
Theater
System
House
telephone
Laptop
Mobile
charger(s)
Satellite
Decoder
Stereo
Televisi
on set
TV Set –
top box
VCD
Player
VCR Player
Video
Game
Console
032
rural
KAUMONI
272996301
6039053
NOX
NOX
NOX
NOX
NOX
2
1
1
1
NOX
NOX
NOX
NOX
033
rural
KAUMONI
343147701
6092976
3
NOX
1
NOX
NOX
NOX
4
1
NOX
1
NOX
NOX
NOX
NOX
034
rural
KAUMONI
271485701
6015560
9
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
0
NOX
NOX
NOX
035
rural
KAUMONI
252266501
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
036
rural
KAUMONI
270989201
6015562
6
NOX
1
NOX
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
037
rural
KAUMONI
252453501
6021650
6
NOX
2
NOX
NOX
NOX
8
1
NOX
2
NOX
1
NOX
NOX
038
rural
KAUMONI
2666680101
6022680
1
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
039
rural
KAUMONI
2708320-01
60155596
NOX
1
NOX
NOX
1
3
NOX
1
NOX
1
NOX
NOX
NOX
040
rural
KAUMONI
60647772
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
041
rural
KAUMONI
2524522-01
60216521
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
1
NOX
1
NOX
NOX
042
rural
KAUMONI
2873598-01
60292985
NOX
NOX
NOX
NOX
NOX
4
1
NOX
1
NOX
NOX
NOX
NOX
043
rural
KAUMONI
3112454-01
60580268
NOX
NOX
NOX
NOX
NOX
4
NOX
1
NOX
NOX
NOX
NOX
NOX
044
rural
KAUMONI
2524540-01
NOX
NOX
NOX
NOX
NOX
4
NOX
NOX
1
NOX
1
NOX
NOX
045
rural
kilala
2272891-01
2020066
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
046
rural
kilala
2442091-01
20663930
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
047
rural
kilala
2273040-01
20200017
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
123
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
048
rural
kilala
2779769-01
20303993
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
049
rural
kilala
2273087-01
20342396
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
NOX
NOX
NOX
NOX
NOX
050
rural
kilala
2273086-01
20200565
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
051
rural
kilala
2272872-01
20200836
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
NOX
NOX
NOX
NOX
NOX
052
rural
kilala
3296626-01
NOX
NOX
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
053
rural
kilala
2271888-01
20200589
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
054
rural
kilala
3052591-01
9523618
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
055
rural
kilala
2273040-01
20200760
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
056
rural
MAKONGO
3447499-01
60068892
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
057
rural
MAKONGO
300589201B
NOX
1
NOX
NOX
NOX
3
NOX
1
NOX
NOX
NOX
NOX
NOX
058
rural
MAKONGO
3492703-01
20426002
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
059
rural
MAKONGO
3492735-01
60444140
NOX
1
NOX
NOX
NOX
3
NOX
1
1
1
NOX
NOX
NOX
060
rural
MAKONGO
2274489-01
20200839
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
061
rural
MAKONGO
2269509-01
20200042
NOX
NOX
NOX
NOX
NOX
1
NOX
2
1
NOX
1
NOX
NOX
062
rural
MAKONGO
300589201A
60331695
NOX
1
NOX
NOX
1
3
NOX
1
1
NOX
1
NOX
NOX
063
rural
KIVANI
2798280-01
60339204
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
064
rural
KIVANI
2924853-01
60367047
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
065
rural
KIVANI
3250616-01
60632559
NOX
1
1
NOX
NOX
8
1
1
1
NOX
NOX
NOX
NOX
066
rural
KIVANI
3639123-01
61150090
NOX
NOX
NOX
NOX
NOX
3
NOX
1
NOX
NOX
NOX
NOX
NOX
067
rural
KIVANI
3147127-01
60585680
NOX
NOX
NOX
NOX
NOX
5
NOX
1
NOX
NOX
NOX
NOX
NOX
124
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
068
rural
KIVANI
3250613-01
60632542
NOX
NOX
NOX
NOX
NOX
10
NOX
1
NOX
NOX
NOX
NOX
NOX
069
rural
KIVANI
3301574-01
60935008
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
070
rural
KIVANI
2666905-01
60354557
NOX
NOX
NOX
NOX
NOX
10
NOX
1
NOX
NOX
NOX
NOX
NOX
071
rural
KIVANI
3405307-01
60893894
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
072
rural
KIVANI
2986005-01
60326206
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
073
rural
KIVANI
3589339-01
61145588
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
074
rural
UKIA-UTAATI
3011758-01
60343566
NOX
NOX
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
075
rural
UKIA-UTAATI
2272337-01
20300911
NOX
1
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
076
rural
UKIA-UTAATI
60242851
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
1
NOX
077
rural
UKIA-UTAATI
3393724-01
60896164
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
078
rural
UKIA-UTAATI
2395304-01
20540296
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
079
rural
UKIA-UTAATI
2339660-01
20342425
NOX
1
NOX
NOX
NOX
2
1
1
1
NOX
NOX
NOX
NOX
080
rural
UKIA-UTAATI
2460170-01
20669768
NOX
1
NOX
NOX
NOX
4
0
1
1
NOX
NOX
NOX
NOX
081
rural
KYUASINI
3609848-01
61150393
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
082
rural
KYUASINI
61150084
NOX
NOX
NOX
NOX
NOX
8
NOX
1
NOX
NOX
NOX
NOX
NOX
083
rural
KYUASINI
60870675
NOX
1
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
084
rural
IKUA-UTAATI
60927738
NOX
1
NOX
NOX
NOX
4
NOX
3
1
NOX
NOX
NOX
NOX
085
rural
IKUA-UTAATI
2367445-01
20452519
NOX
1
NOX
NOX
NOX
8
NOX
1
1
NOX
NOX
NOX
NOX
086
rural
IKUA-UTAATI
2272335-02
20200850
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
1
NOX
087
rural
IKUA-UTAATI
20200564
NOX
1
NOX
NOX
NOX
5
NOX
2
1
NOX
NOX
NOX
NOX
3371836-01
125
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
088
rural
IKUA-UTAATI
2719585-01
60158203
NOX
1
NOX
NOX
1
5
1
1
1
NOX
NOX
NOX
NOX
089
rural
IKUA-UTAATI
3393725-01
60896174
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
090
rural
IKUA-UTAATI
3340363-01
60935012
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
091
rural
IKUA-UTAATI
61145382
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
092
rural
ituka
2647751-01
60118819
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
093
rural
ituka
2648480
60111585
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
NOX
NOX
NOX
NOX
NOX
094
rural
ituka
2863389
60279837
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
095
rural
ituka
2876640-01
60233363
NOX
NOX
NOX
NOX
NOX
5
NOX
NOX
NOX
NOX
NOX
NOX
NOX
096
rural
MUKUYUNI
2271247-01
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
097
rural
MUKUYUNI
2583285-01
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
098
rural
MUKUYUNI
2392447-01
NOX
1
NOX
NOX
NOX
4
1
NOX
1
NOX
NOX
NOX
NOX
099
rural
NZUUNI
3110217-01
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
100
rural
MUKUYUNI
3335448801
61002874
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
101
rural
MUKUYUNI
2271690-01
20200236
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
102
rural
MUKUYUNI
2314809-01
20384856
NOX
NOX
NOX
NOX
1
10
NOX
NOX
NOX
NOX
NOX
NOX
NOX
103
urban
Savanah
0084028-01
381531
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
104
urban
Savanah
2954319-01
78429735
NOX
1
NOX
NOX
NOX
6
NOX
1
1
NOX
NOX
NOX
NOX
105
urban
Savanah
0084122-01
9847566
NOX
1
1
NOX
1
2
1
NOX
1
NOX
NOX
NOX
NOX
106
urban
Savanah
3058741-01
60451684
1
NOX
1
NOX
1
3
NOX
NOX
NOX
1
NOX
NOX
NOX
107
urban
Savanah
0084115-01
20035664
NOX
1
NOX
NOX
1
7
NOX
1
1
NOX
NOX
NOX
NOX
60072844
126
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
108
urban
Savanah
0084005-01
435508
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
109
urban
Savanah
0084084-01
387025
NOX
1
NOX
0
2
4
NOX
NOX
2
NOX
1
NOX
NOX
110
urban
Savanah
76519-16
NOX
1
NOX
NOX
1
6
1
NOX
2
NOX
1
NOX
NOX
111
urban
Savanah
0083241-01
941795
NOX
1
NOX
NOX
1
5
1
NOX
2
NOX
1
NOX
NOX
112
urban
Savanah
84140-06
430885
1
1
1
NOX
1
5
1
1
2
NOX
1
NOX
NOX
113
urban
Savanah
2014690-01
9720404
NOX
1
1
NOX
NOX
1
NOX
1
1
1
1
NOX
NOX
114
urban
Savanah
0083967-01
334914
NOX
1
NOX
NOX
1
3
NOX
NOX
2
NOX
NOX
NOX
NOX
115
urban
Njiru
3265151-01
60813996
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
NOX
NOX
NOX
116
urban
Njiru
2473337-01
50003989
NOX
NOX
NOX
NOX
NOX
3
NOX
2
NOX
2
NOX
NOX
NOX
117
urban
Njiru
3237300-01
60621328
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
118
urban
Njiru
2750156-01
201092254
NOX
1
NOX
NOX
NOX
3
NOX
1
NOX
1
1
NOX
NOX
119
urban
Njiru
3297933-01
60852431
NOX
NOX
NOX
NOX
1
5
NOX
1
1
NOX
1
1
NOX
120
urban
Njiru
2528363-01
60354486
NOX
1
NOX
NOX
NOX
2
NOX
1
NOX
1
NOX
NOX
NOX
121
urban
Njiru
3127647-07
60597726
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
122
urban
Njiru
2889882-01
60469392
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
1
1
NOX
123
urban
Njiru
3265150-01
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
1
1
NOX
NOX
124
urban
Njiru
3237303-01
60655828
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
1
NOX
NOX
125
urban
Njiru
3470226-01
60880988
NOX
1
NOX
NOX
NOX
3
1
NOX
1
NOX
1
1
NOX
126
urban
Njiru
3467801-01
60909537
NOX
1
NOX
NOX
1
3
1
NOX
1
1
1
1
NOX
127
urban
Kileleshwa
2108745-02
9954581
1
1
NOX
1
1
4
NOX
NOX
2
NOX
NOX
NOX
NOX
127
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
128
urban
Kileleshwa
2896882
60323717
1
NOX
1
1
1
3
NOX
NOX
2
NOX
NOX
NOX
NOX
129
urban
Kileleshwa
251800
9540586
1
2
NOX
1
1
3
NOX
NOX
2
NOX
NOX
NOX
NOX
130
urban
Kileleshwa
2001398
NOX
NOX
1
NOX
2
5
1
1
2
NOX
NOX
NOX
NOX
131
urban
Kileleshwa
0265731-21
1
1
NOX
NOX
1
4
1
1
1
NOX
NOX
NOX
NOX
132
urban
Kyuna
2265595-01
NOX
1
NOX
NOX
4
8
1
1
1
NOX
NOX
NOX
NOX
133
urban
Kyuna
2507657-02
NOX
1
NOX
1
1
6
1
NOX
1
NOX
NOX
NOX
NOX
134
urban
MLANGO KUBWA
3159661 01
NOX
NOX
NOX
NOX
NOX
3
0
1
1
NOX
NOX
NOX
NOX
135
urban
Kileleshwa
0244621-11
1
0
1
NOX
1
5
1
0
2
NOX
NOX
NOX
NOX
136
urban
Muthaiga
2390492
20524552
NOX
1
NOX
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
137
urban
Muthaiga
0086201-01
9123840
NOX
1
NOX
2
2
6
1
1
3
NOX
NOX
NOX
NOX
138
urban
Kyuna
2
2
NOX
1
2
5
NOX
NOX
4
NOX
NOX
NOX
NOX
139
urban
Kileleshwa
2108743-01
9955138
NOX
2
NOX
NOX
1
5
1
1
3
NOX
NOX
1
NOX
140
urban
Kileleshwa
2511398-01
20046906
NOX
1
1
1
1
4
NOX
1
2
NOX
NOX
NOX
NOX
141
urban
Kyuna
247726
465669
1
1
1
1
1
4
1
1
1
NOX
1
NOX
NOX
142
urban
Kyuna
231779
43939
NOX
1
NOX
NOX
1
3
1
1
3
NOX
NOX
NOX
NOX
143
urban
Muthaiga
2390491-02
20524551
NOX
1
NOX
NOX
1
2
NOX
NOX
1
NOX
1
NOX
NOX
144
urban
Muthaiga
90179-01
60251420
NOX
2
NOX
NOX
2
4
NOX
1
3
NOX
NOX
NOX
NOX
145
urban
Kileleshwa
2251193101
9849301
NOX
1
NOX
1
NOX
3
1
NOX
1
NOX
1
NOX
NOX
146
urban
Kyuna
0231742-02
9708272
1
1
NOX
NOX
2
3
1
1
1
NOX
NOX
NOX
NOX
147
urban
Kyuna
0246562-03
20455128
NOX
1
NOX
NOX
1
4
NOX
NOX
1
NOX
NOX
NOX
NOX
128
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
148
urban
Muthaiga
0084647-01
9120762
NOX
1
NOX
0
2
2
1
1
1
1
NOX
NOX
NOX
149
urban
Muthaiga
2389349
20524868
NOX
1
1
NOX
1
3
NOX
1
1
NOX
NOX
NOX
NOX
150
urban
Muthaiga
2044364
9738321
1
1
1
1
2
2
1
1
1
NOX
NOX
NOX
NOX
151
urban
Kileleshwa
2073949-03
9848783
NOX
1
NOX
1
2
3
1
NOX
1
NOX
NOX
NOX
NOX
152
urban
Kileleshwa
2073952-01
9864924
NOX
1
NOX
NOX
2
2
1
NOX
1
NOX
NOX
NOX
NOX
153
urban
Kileleshwa
2829734
61000112
1
NOX
1
NOX
1
3
1
NOX
1
NOX
NOX
NOX
NOX
154
urban
Muthaiga
2389348-01
20524867
NOX
1
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
155
urban
Kyuna
2189997
20082718
1
NOX
NOX
NOX
2
4
1
1
NOX
NOX
NOX
NOX
NOX
156
urban
Muthaiga
60267284
1
1
1
NOX
1
4
2
3
3
NOX
3
2
NOX
157
urban
Kileleshwa
2365485-01
20423502
NOX
NOX
NOX
NOX
1
3
1
2
3
NOX
NOX
NOX
NOX
158
urban
Kileleshwa
0012053-01
96041
NOX
NOX
NOX
NOX
NOX
3
NOX
2
1
NOX
NOX
NOX
NOX
159
urban
Kileleshwa
231701
20080075
NOX
NOX
NOX
NOX
NOX
2
1
NOX
1
NOX
NOX
NOX
NOX
160
urban
Muthaiga
2390493
20524553
NOX
1
NOX
NOX
1
3
NOX
1
1
NOX
NOX
NOX
NOX
161
urban
Muthaiga
3443517-01
61023368
NOX
1
1
NOX
1
4
1
1
1
NOX
NOX
NOX
NOX
162
urban
Muthaiga
0090690-01
20039417
1
2
NOX
NOX
3
8
1
2
3
NOX
NOX
NOX
NOX
163
urban
Kileleshwa
2365491-01
20441261
NOX
1
1
NOX
NOX
1
1
1
1
NOX
1
NOX
NOX
164
urban
Kileleshwa
0012063-02
20111216
NOX
1
1
NOX
1
3
1
NOX
1
NOX
NOX
NOX
NOX
165
urban
Kyuna
2171313
20078411
NOX
1
1
NOX
3
4
1
NOX
2
NOX
NOX
NOX
NOX
166
urban
Kyuna
246593
20316207
NOX
1
1
5
1
6
1
2
4
NOX
NOX
NOX
NOX
167
urban
Kyuna
2171148
20075605
NOX
NOX
1
NOX
4
3
1
NOX
1
NOX
NOX
1
NOX
129
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
168
urban
Kyuna
184431
159621
NOX
1
NOX
NOX
3
4
1
1
1
NOX
NOX
1
NOX
169
urban
MOWLEM
2474420-01
20513860
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
170
urban
MOWLEM
2549350
20682836
NOX
1
NOX
NOX
NOX
4
NOX
1
2
NOX
NOX
1
NOX
171
urban
MOWLEM
2751634-01
60181928
NOX
NOX
NOX
NOX
NOX
5
NOX
1
1
NOX
NOX
1
NOX
172
urban
MOWLEM
2973749
60327137
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
173
urban
MOWLEM
2651395-01
60114055
NOX
1
NOX
NOX
NOX
2
NOX
2
1
NOX
NOX
1
NOX
174
urban
MOWLEM
3224346-01
60621746
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
175
urban
MLANGO KUBWA
0239886-01
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
176
urban
MLANGO KUBWA
3159661 01
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
177
urban
MLANGO KUBWA
260108-01
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
178
urban
MLANGO KUBWA
3292597 01
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
NOX
179
urban
LAINI SABA
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
180
urban
DANDORA
350260-01
20685808
NOX
1
1
NOX
1
2
NOX
NOX
1
NOX
NOX
NOX
NOX
181
urban
DANDORA
2166198-01
20069757
NOX
1
1
NOX
1
2
NOX
1
1
NOX
NOX
NOX
NOX
182
urban
DANDORA
2308025-01
20323620
NOX
1
1
NOX
NOX
3
NOX
NOX
1
1
NOX
NOX
NOX
183
urban
DANDORA
2957279-01
60370248
NOX
1
NOX
NOX
1
2
NOX
1
1
NOX
NOX
NOX
NOX
184
urban
DANDORA
2292992-01
20325920
NOX
1
1
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
185
urban
DANDORA
2991347-01
60338005
NOX
1
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
186
urban
DANDORA
2505807
20646890
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
187
urban
MOWLEM
2926456-01
60417773
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
130
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
188
urban
MOWLEM
3529015-01
20499014
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
189
urban
MOWLEM
3444660-01
60865599
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
190
urban
MOWLEM
3390868-01
60919155
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
191
urban
MOWLEM
3180947-01
60779434
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
192
urban
DANDORA
3502635-01
20640481
NOX
1
1
NOX
1
4
NOX
1
3
NOX
NOX
NOX
NOX
193
urban
DANDORA
2293009-01
20325907
NOX
1
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
194
urban
DANDORA
2293001-01
20325918
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
195
urban
DANDORA
2293012-01
20325904
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
196
urban
DANDORA
3283204-01
60620982
NOX
1
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
197
urban
DANDORA
3283198-01
60633681
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
198
urban
Kaloleni
0160635-01
20683456
NOX
NOX
NOX
NOX
NOX
4
NOX
1
1
NOX
1
NOX
NOX
199
urban
Kaloleni
160621-01
20090484
NOX
NOX
1
NOX
1
3
1
1
1
NOX
NOX
NOX
NOX
200
urban
Kaloleni
160616-01
J-246950
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
1
NOX
NOX
201
urban
Kaloleni
2123253-01
144253
NOX
1
NOX
NOX
1
3
NOX
1
1
NOX
NOX
NOX
NOX
202
urban
Kaloleni
168023-01
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
203
urban
Kaloleni
2425007-01
20465507
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
204
urban
Shauri Moyo
0282672-02
186343
NOX
NOX
1
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
205
urban
Shauri Moyo
0283002-02
433858
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
206
urban
Shauri Moyo
0282727-02
341039
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
207
urban
Shauri Moyo
0282665-02
292465
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
NOX
131
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
208
urban
Shauri Moyo
0282670-02
322379
NOX
1
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
209
urban
Shauri Moyo
0282738-03
315520
NOX
1
1
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
210
urban
Shauri Moyo
0282726-02
20091417
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
211
urban
Kaloleni
0160380-01
NOX
1
NOX
NOX
NOX
4
NOX
1
1
NOX
NOX
NOX
NOX
212
urban
Makongeni
0160551-01
20082121
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
213
urban
Makongeni
0160425-01
146162
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
1
NOX
214
urban
Makongeni
0160398-01
20112056
NOX
NOX
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
215
urban
Makongeni
2998459-01
60361438
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
1
NOX
216
urban
Makongeni
2086178-01
9842250
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
217
urban
Shauri Moyo
282975-05
433905
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
218
urban
Shauri Moyo
0289210-01
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
219
urban
Shauri Moyo
0223702001
NOX
1
1
NOX
1
2
NOX
NOX
1
NOX
NOX
NOX
NOX
220
urban
Shauri Moyo
0282991-01
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
221
urban
Shauri Moyo
292343
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
222
urban
NGARA
3458303-01
60866038
NOX
1
1
NOX
NOX
3
NOX
NOX
1
1
1
NOX
NOX
223
urban
NGARA
3458280-01
60867408
NOX
1
1
NOX
NOX
5
NOX
NOX
1
NOX
NOX
NOX
NOX
224
urban
NGARA
3453267-01
60866037
NOX
1
NOX
NOX
1
3
NOX
NOX
1
NOX
1
NOX
NOX
225
urban
MLANGO KUBWA
2949691-01
60318723
NOX
NOX
NOX
NOX
1
2
1
1
1
NOX
NOX
NOX
NOX
226
urban
MLANGO KUBWA
0074273-01
74136
NOX
NOX
NOX
NOX
0
5
NOX
NOX
2
NOX
NOX
NOX
NOX
227
urban
MLANGO KUBWA
2949676-01
60318739
1
1
1
NOX
0
3
NOX
NOX
1
1
NOX
NOX
NOX
282967-01
132
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
228
urban
NGARA WEST
0090559-01
9342040
NOX
NOX
NOX
2
2
2
NOX
1
NOX
NOX
NOX
NOX
NOX
229
urban
NGARA WEST
0112176-03
20095677
NOX
NOX
NOX
NOX
1
3
NOX
NOX
1
NOX
1
NOX
NOX
230
urban
NGARA WEST
0112177-02
20079489
NOX
1
NOX
NOX
2
1
NOX
NOX
1
NOX
1
NOX
NOX
231
urban
MLANGO KUBWA
0136307-02
367779
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
1
NOX
NOX
232
urban
MLANGO KUBWA
2045931-04
9737846
NOX
NOX
NOX
NOX
2
4
NOX
1
NOX
1
NOX
NOX
NOX
233
urban
MLANGO KUBWA
2045925-01
20117613
NOX
1
NOX
NOX
0
6
NOX
NOX
1
NOX
1
NOX
NOX
234
urban
NGARA
905558-01
9334836
NOX
1
NOX
1
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
235
urban
NGARA
0060312-01
9340862
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
236
urban
NGARA
0112197-02
668336
NOX
1
NOX
NOX
2
3
NOX
NOX
1
NOX
NOX
NOX
NOX
237
urban
MLANGO KUBWA
2045929-02
9738047
NOX
1
NOX
NOX
0
2
1
NOX
1
NOX
NOX
NOX
NOX
238
urban
MLANGO KUBWA
0136306-02
372578
NOX
1
NOX
NOX
0
3
NOX
1
1
NOX
NOX
NOX
NOX
239
urban
MLANGO KUBWA
2045920-01
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
240
urban
NGARA
2034961-02
NOX
1
NOX
NOX
1
4
NOX
NOX
2
NOX
NOX
NOX
NOX
241
urban
NGARA
0238866-02
NOX
1
1
NOX
1
8
NOX
NOX
1
NOX
NOX
NOX
NOX
242
urban
NGARA
2076264-02
NOX
1
1
NOX
1
8
NOX
NOX
1
NOX
NOX
NOX
NOX
243
urban
MLANGO KUBWA
2949671-01
60318732
NOX
NOX
NOX
NOX
1
5
1
NOX
1
1
NOX
NOX
NOX
244
urban
MLANGO KUBWA
2949690-01
60318724
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
245
urban
MLANGO KUBWA
3128434-01
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
246
urban
Mathare North
3234170-01
60806816
NOX
1
1
NOX
1
3
NOX
NOX
1
NOX
1
NOX
NOX
247
urban
Mathare North
2212746-01
20223573
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
1
NOX
NOX
9708437
133
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
248
urban
Mathare North
3361897-01
60952747
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
249
urban
Mathare North
3562537-01
9845235
NOX
NOX
1
NOX
NOX
2
NOX
NOX
1
NOX
1
NOX
NOX
250
urban
Mathare North
3467413-01
60894939
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
251
urban
Mathare North
3534558-01
20035113
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
252
urban
Area 1
3562543-01
9676518
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
253
urban
Drive in
3395466-01
60958041
NOX
1
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
254
urban
Drive in
3423180-01
60964468
NOX
NOX
NOX
NOX
2
3
NOX
NOX
1
NOX
NOX
NOX
NOX
255
urban
Area 1
3534571-01
9331703
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
256
urban
Drive in
3423214-01
60964472
NOX
1
1
NOX
1
2
NOX
NOX
1
NOX
NOX
NOX
NOX
257
urban
Area 1
2212736-01
20232088
NOX
1
1
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
258
urban
Garden Estate
0082054-01
153101
NOX
1
NOX
1
1
4
NOX
1
3
NOX
1
2
NOX
259
urban
Garden Lane
87817-03
1
1
NOX
NOX
1
4
1
NOX
1
NOX
NOX
2
NOX
260
urban
Garden Estate
0082073-01
1
5
NOX
2
2
5
NOX
NOX
5
1
1
NOX
NOX
261
urban
Garden Estate
2193439-01
20097645
NOX
1
NOX
NOX
1
5
NOX
1
2
NOX
1
1
NOX
262
urban
Kirinyaga Lane
2002405-02
244673
NOX
1
NOX
NOX
2
5
NOX
1
3
NOX
1
1
NOX
263
urban
Garden Estate
Road
2144775-01
1
1
NOX
NOX
2
8
NOX
NOX
1
NOX
1
NOX
NOX
264
urban
Garden Estate
2232694-01
20239995
NOX
1
NOX
1
1
3
NOX
1
1
NOX
1
1
NOX
265
urban
Garden Estate
2423041
20448635
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
1
NOX
266
urban
Garden Estate
2592085
60076158
NOX
1
NOX
NOX
1
10
1
1
1
NOX
1
NOX
NOX
267
urban
Garden Estate
2577982-01
60045789
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
134
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
Garden Estate
157221
NOX
1
NOX
1
1
3
NOX
1
2
NOX
1
1
NOX
urban
Garden Estate
20060121
NOX
1
NOX
NOX
2
3
1
NOX
1
NOX
1
NOX
NOX
270
urban
HIGHVIE PHASE 2
145286370
NOX
1
NOX
NOX
NOX
4
1
NOX
2
NOX
NOX
NOX
NOX
271
urban
HIGHVIE PHASE 3
1450492218
NOX
1
NOX
1
1
2
NOX
NOX
1
NOX
NOX
NOX
NOX
272
urban
HIGHVIE PHASE 4
1450327448
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
273
urban
LENANA
2370418-01
220673240
NOX
1
NOX
NOX
1
5
1
NOX
1
NOX
NOX
NOX
NOX
274
urban
LENANA
0075970-01
20102975
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
275
urban
LENANA
2959035-01
60357591
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
276
urban
HIGHVIE PHASE 2
1450377369
NOX
1
NOX
NOX
2
5
1
1
NOX
NOX
NOX
NOX
NOX
277
urban
HIGHVIE PHASE 3
1450315435
NOX
1
NOX
NOX
2
5
NOX
1
2
NOX
NOX
NOX
NOX
278
urban
HIGHVIE PHASE 4
1450384688
NOX
1
NOX
NOX
NOX
5
NOX
NOX
1
NOX
NOX
NOX
NOX
279
urban
LENANA
2852705-01
NOX
1
NOX
NOX
1
3
NOX
NOX
2
NOX
NOX
NOX
NOX
280
urban
LENANA
2537788-01
1
1
1
NOX
2
4
NOX
2
1
NOX
1
NOX
NOX
281
urban
LENANA
0085544701
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
282
urban
HIGHVIE PHASE 2
1450384761
NOX
NOX
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
283
urban
HIGHVIE PHASE 3
1450499460
NOX
1
NOX
NOX
NOX
4
NOX
1
1
1
NOX
NOX
NOX
284
urban
HIGHVIE PHASE 4
1450492184
NOX
1
NOX
NOX
NOX
1
1
1
1
NOX
NOX
NOX
NOX
285
urban
LENANA
3076419-01
60513100
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
286
urban
LENANA
2537787-01
20680953
NOX
1
1
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
287
urban
LENANA
0075972-01
448820
NOX
1
1
NOX
1
2
NOX
NOX
1
NOX
NOX
1
NOX
NO.
Location of
the
household
Name of the area
or Estate
268
urban
269
Account
number
135
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
1450710783
NOX
1
1
NOX
1
2
1
NOX
1
NOX
NOX
NOX
NOX
HIGHVIE PHASE 3
1450293756
NOX
1
1
1
1
4
1
1
NOX
NOX
NOX
1
NOX
urban
HIGHVIE PHASE 4
1450386428
NOX
1
1
NOX
1
3
NOX
1
1
NOX
NOX
NOX
NOX
291
urban
LENANA
2537796-01
20695755
NOX
1
NOX
NOX
0
2
NOX
1
1
NOX
NOX
NOX
NOX
292
urban
LENANA
3076422-01
60511519
NOX
1
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
293
urban
LENANA
0075982-01
20116099
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
294
urban
Zimmerman
0122875-08
60043421
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
295
urban
Zimmerman
3282252-01
60807730
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
296
urban
Zimmerman
2250140-01
20051437
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
297
urban
Zimmerman
0205092-01
9537509
NOX
1
NOX
1
NOX
3
NOX
1
2
NOX
NOX
NOX
NOX
298
urban
Zimmerman
2250110-01
340951
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
299
urban
Zimmerman
2250136-01
20094919
NOX
1
NOX
NOX
NOX
6
NOX
1
1
NOX
NOX
NOX
NOX
300
urban
Zimmerman
2621595
NOX
1
1
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
301
urban
Zimmerman
2802846-01
NOX
NOX
1
NOX
2
3
NOX
NOX
1
NOX
NOX
NOX
NOX
302
urban
Zimmerman
099330-01
NOX
1
1
NOX
1
3
NOX
NOX
1
NOX
NOX
NOX
NOX
303
urban
Zimmerman
3426554-01
60909444
NOX
1
1
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
304
urban
Zimmerman
2792164-01
60100079
NOX
1
NOX
NOX
NOX
2
NOX
1
1
1
NOX
NOX
NOX
305
urban
Zimmerman
2802849
60258551
NOX
NOX
1
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
306
urban
Mwiki
3247328-01
60818309
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
307
urban
Mwiki
3247338-01
60636380
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
288
urban
HIGHVIE PHASE 2
289
urban
290
Meter
number
136
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
308
urban
Mwiki
361680-01
61068506
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
309
urban
Mwiki
3247335-01
60818306
NOX
1
NOX
NOX
NOX
3
NOX
1
NOX
NOX
NOX
NOX
NOX
310
urban
Mwiki
3561686-01
61068501
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
311
urban
Mwiki
3247332-01
60818319
NOX
1
1
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
312
urban
Mwiki
3549081-01
61080544
NOX
NOX
NOX
NOX
NOX
4
NOX
NOX
1
1
NOX
NOX
NOX
313
urban
Mwiki
3356014-01
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
314
urban
Mwiki
3549098-01
61080613
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
315
urban
Mwiki
3549085-01
61080540
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
316
urban
Mwiki
3011597-01
60416374
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
317
urban
Mwiki
229813
706147
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
318
urban
Shauri Moyo
282996-03
433849
NOX
1
NOX
NOX
NOX
6
NOX
NOX
1
NOX
NOX
NOX
NOX
319
urban
Shauri Moyo
293126-02
433918
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
320
urban
Shauri Moyo
0290153-02
433842
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
321
urban
Shauri Moyo
265120-01
427183
NOX
2
NOX
NOX
1
6
NOX
NOX
1
NOX
NOX
NOX
NOX
322
urban
Shauri Moyo
2001442-02
9731992
NOX
NOX
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
323
urban
Shauri Moyo
0282983-03
440351
NOX
1
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
324
urban
Eastleigh Airbase
0244412-01
108254
NOX
1
1
NOX
1
6
NOX
NOX
1
NOX
NOX
NOX
NOX
325
urban
Eastleigh Airbase
0244367-02
60499215
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
326
urban
Eastleigh Airbase
2105299-01
9936937
NOX
1
NOX
NOX
NOX
4
NOX
NOX
1
NOX
NOX
NOX
NOX
327
urban
Eastleigh Airbase
0244354-01
20041223
NOX
1
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
137
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
328
urban
Eastleigh Airbase
0244356-01
383161
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
329
urban
Eastleigh Airbase
0244521-03
158618
NOX
1
NOX
NOX
NOX
2
NOX
NOX
1
NOX
NOX
NOX
NOX
330
urban
Eastleigh
244411-01
NOX
1
NOX
NOX
1
3
NOX
1
1
NOX
NOX
NOX
NOX
331
urban
Eastleigh
2592892-01
60634552
NOX
1
1
NOX
1
6
NOX
1
2
NOX
NOX
1
NOX
332
urban
Eastleigh
2105273-01
99373997
NOX
1
NOX
NOX
1
3
NOX
1
2
NOX
NOX
NOX
NOX
333
urban
Eastleigh
2105304-01
9935509
NOX
NOX
1
NOX
1
6
NOX
1
1
NOX
NOX
NOX
NOX
334
urban
Eastleigh
244329-01
NOX
1
1
NOX
NOX
3
NOX
1
1
NOX
NOX
1
NOX
335
urban
Eastleigh
0244355-01
38347
NOX
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
NOX
336
urban
Shauri Moyo
292608-03
424701
NOX
NOX
NOX
NOX
NOX
3
NOX
1
1
NOX
NOX
NOX
NOX
337
urban
Shauri Moyo
3396018-01
60944923
NOX
1
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
338
urban
Shauri Moyo
3395987-01
60940725
NOX
1
NOX
1
NOX
2
NOX
1
1
NOX
1
NOX
NOX
339
urban
Shauri Moyo
2366362-01
20437154
NOX
NOX
1
NOX
1
3
NOX
NOX
1
NOX
1
NOX
NOX
340
urban
Shauri Moyo
265372
439646
NOX
1
1
NOX
1
4
NOX
1
1
NOX
NOX
NOX
NOX
341
urban
Shauri Moyo
0283022-04
433861
NOX
NOX
NOX
NOX
NOX
3
NOX
NOX
1
NOX
NOX
NOX
NOX
342
urban
MUGUMO-INI
4216190928
NOX
NOX
1
NOX
NOX
5
NOX
NOX
1
NOX
NOX
NOX
NOX
343
urban
MUGUMO-INI
0159044-01
20390339
NOX
1
NOX
NOX
1
3
1
2
2
1
NOX
NOX
344
urban
MUGUMO-INI
158999-01
9331163
1
1
1
NOX
0
3
NOX
1
1
NOX
NOX
NOX
NOX
345
urban
MUGUMO-INI
4202169563
NOX
2
NOX
NOX
NOX
3
NOX
NOX
1
NOX
1
NOX
NOX
346
urban
MUGUMO-INI
4216186918
NOX
1
NOX
NOX
4
4
NOX
NOX
1
NOX
1
NOX
NOX
347
urban
MUGUMO-INI
4217725318
NOX
NOX
1
NOX
0
2
1
1
1
NOX
NOX
NOX
NOX
159011-01
138
Meter
number
Compute
r Scanner
DVD
Playe
r
Home
Theate
r
System
House
telephon
e
Lapto
p
Mobile
charger(s
)
Satellite
Decode
r
Stere
o
Televis
ion set
TV Set
–top
box
VCD
Playe
r
VCR
Playe
r
Video
Game
Consol
e
MUGUMO-INI
0420200069-3
1
1
1
NOX
1
3
1
NOX
1
NOX
NOX
NOX
NOX
urban
MUGUMO-INI
1450400187
NOX
1
1
NOX
1
2
NOX
NOX
1
NOX
NOX
NOX
NOX
350
urban
MUGUMO-INI
4218736926
NOX
1
1
NOX
2
3
1
NOX
1
NOX
NOX
NOX
NOX
351
urban
MUGUMO-INI
1450992324
1
1
1
NOX
1
3
1
1
1
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
001
rural
ruthimitu
0038286-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
002
rural
ruthimitu
2384653-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
003
rural
ruthimitu
2736908-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
004
rural
ruthimitu
3531446-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
005
rural
ruthimitu
2294088-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
006
rural
ruthimitu
3281923-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
007
rural
ruthimitu
0038251-01
6632
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
008
rural
ruthimitu
2831440-01
60265478
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
009
rural
ruthimitu
2019960-01
9875145
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
010
rural
ruthimitu
2366482-02
60286041
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
011
rural
ruthimitu
2474381-01
20461168
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
012
rural
ruthimitu
2506080-01
20663394
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
348
urban
349
Account
number
Meter
number
139
NO.
Location of
the
household
Name of the area
or Estate
Account
number
013
rural
ruthimitu
014
rural
015
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
2273419-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
ruthimitu
0041151-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
rural
ruthimitu
3106910-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
016
rural
ruthimitu
0038292-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
017
rural
Ruthimitu
2201836-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
018
rural
Ruthimitu
3210754-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
019
rural
Ruthimitu
3281934-01
60632223
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
020
rural
Ruthimitu
0038229-01
60937508
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
021
rural
Ruthimitu
38238
252837
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
022
rural
Ruthimitu
2019964-01
9439904
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
023
rural
Ruthimitu
0041610-01
9514344
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
4
NOX
NOX
NOX
024
rural
Ruthimitu
3541393-01
60543304
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
0
NOX
NOX
NOX
025
rural
KAUMONI
3418750-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
026
rural
KAUMONI
2708318-01
60226809
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
027
rural
KAUMONI
2596440-01
60164961
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
028
rural
KAUMONI
2727616-01
60164953
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
029
rural
KAUMONI
3142721-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
030
rural
KAUMONI
2716955-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
031
rural
KAUMONI
2742486-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
032
rural
KAUMONI
2729963-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
6039053
140
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
033
rural
KAUMONI
3431477-01
60929763
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
034
rural
KAUMONI
2714857-01
60155609
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
035
rural
KAUMONI
2522665-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
036
rural
KAUMONI
2709892-01
60155626
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
037
rural
KAUMONI
2524535-01
60216506
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
038
rural
KAUMONI
26666801-01
60226801
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
039
rural
KAUMONI
2708320-01
60155596
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
040
rural
KAUMONI
60647772
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
041
rural
KAUMONI
2524522-01
60216521
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
042
rural
KAUMONI
2873598-01
60292985
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
043
rural
KAUMONI
3112454-01
60580268
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
044
rural
KAUMONI
2524540-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
045
rural
kilala
2272891-01
2020066
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
046
rural
kilala
2442091-01
20663930
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
047
rural
kilala
2273040-01
20200017
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
048
rural
kilala
2779769-01
20303993
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
049
rural
kilala
2273087-01
20342396
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
050
rural
kilala
2273086-01
20200565
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
051
rural
kilala
2272872-01
20200836
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
052
rural
kilala
3296626-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
141
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
053
rural
kilala
2271888-01
20200589
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
054
rural
kilala
3052591-01
9523618
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
055
rural
kilala
2273040-01
20200760
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
056
rural
MAKONGO
3447499-01
60068892
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
057
rural
MAKONGO
3005892-01B
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
058
rural
MAKONGO
3492703-01
20426002
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
059
rural
MAKONGO
3492735-01
60444140
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
060
rural
MAKONGO
2274489-01
20200839
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
061
rural
MAKONGO
2269509-01
20200042
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
062
rural
MAKONGO
3005892-01A
60331695
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
063
rural
KIVANI
2798280-01
60339204
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
064
rural
KIVANI
2924853-01
60367047
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
065
rural
KIVANI
3250616-01
60632559
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
066
rural
KIVANI
3639123-01
61150090
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
067
rural
KIVANI
3147127-01
60585680
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
068
rural
KIVANI
3250613-01
60632542
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
069
rural
KIVANI
3301574-01
60935008
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
070
rural
KIVANI
2666905-01
60354557
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
071
rural
KIVANI
3405307-01
60893894
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
072
rural
KIVANI
2986005-01
60326206
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
142
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
073
rural
KIVANI
3589339-01
61145588
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
074
rural
UKIA-UTAATI
3011758-01
60343566
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
075
rural
UKIA-UTAATI
2272337-01
20300911
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
076
rural
UKIA-UTAATI
60242851
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
077
rural
UKIA-UTAATI
3393724-01
60896164
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
078
rural
UKIA-UTAATI
2395304-01
20540296
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
079
rural
UKIA-UTAATI
2339660-01
20342425
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
080
rural
UKIA-UTAATI
2460170-01
20669768
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
081
rural
KYUASINI
3609848-01
61150393
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
082
rural
KYUASINI
61150084
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
5
NOX
NOX
NOX
083
rural
KYUASINI
60870675
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
3
NOX
NOX
NOX
084
rural
IKUA-UTAATI
60927738
NOX
NOX
NOX
NOX
2
1
NOX
NOX
1
2
NOX
NOX
NOX
085
rural
IKUA-UTAATI
2367445-01
20452519
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
086
rural
IKUA-UTAATI
2272335-02
20200850
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
087
rural
IKUA-UTAATI
20200564
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
088
rural
IKUA-UTAATI
2719585-01
60158203
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
1
NOX
NOX
1
089
rural
IKUA-UTAATI
3393725-01
60896174
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
090
rural
IKUA-UTAATI
3340363-01
60935012
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
091
rural
IKUA-UTAATI
61145382
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
092
rural
ituka
60118819
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
3371836-01
2647751-01
143
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
093
rural
ituka
2648480
60111585
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
094
rural
ituka
2863389
60279837
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
095
rural
ituka
2876640-01
60233363
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
096
rural
MUKUYUNI
2271247-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
097
rural
MUKUYUNI
2583285-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
098
rural
MUKUYUNI
2392447-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
099
rural
NZUUNI
3110217-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
100
rural
MUKUYUNI
33354488-01
61002874
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
101
rural
MUKUYUNI
2271690-01
20200236
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
102
rural
MUKUYUNI
2314809-01
20384856
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
103
urban
Savanah
0084028-01
381531
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
104
urban
Savanah
2954319-01
78429735
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
105
urban
Savanah
0084122-01
9847566
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
106
urban
Savanah
3058741-01
60451684
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
107
urban
Savanah
0084115-01
20035664
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
108
urban
Savanah
0084005-01
435508
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
109
urban
Savanah
0084084-01
387025
NOX
NOX
NOX
NOX
1
2
NOX
NOX
2
NOX
NOX
NOX
NOX
110
urban
Savanah
76519-16
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
111
urban
Savanah
0083241-01
941795
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
2
NOX
NOX
NOX
112
urban
Savanah
84140-06
430885
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
NOX
60072844
144
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
113
urban
Savanah
2014690-01
9720404
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
114
urban
Savanah
0083967-01
334914
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
1
NOX
115
urban
Njiru
3265151-01
60813996
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
116
urban
Njiru
2473337-01
50003989
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
117
urban
Njiru
3237300-01
60621328
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
118
urban
Njiru
2750156-01
201092254
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
119
urban
Njiru
3297933-01
60852431
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
120
urban
Njiru
2528363-01
60354486
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
121
urban
Njiru
3127647-07
60597726
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
122
urban
Njiru
2889882-01
60469392
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
123
urban
Njiru
3265150-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
124
urban
Njiru
3237303-01
60655828
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
125
urban
Njiru
3470226-01
60880988
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
126
urban
Njiru
3467801-01
60909537
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
127
urban
Kileleshwa
2108745-02
9954581
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
2
1
NOX
NOX
NOX
128
urban
Kileleshwa
2896882
60323717
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
1
1
129
urban
Kileleshwa
251800
9540586
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
3
NOX
NOX
NOX
130
urban
Kileleshwa
2001398
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
131
urban
Kileleshwa
0265731-21
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
132
urban
Kyuna
2265595-01
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
2
NOX
1
NOX
NOX
145
NO.
Location of
the
household
Name of the area
or Estate
Account
number
133
urban
Kyuna
134
urban
135
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
2507657-02
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
MLANGO KUBWA
3159661 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
urban
Kileleshwa
0244621-11
NOX
NOX
NOX
NOX
1
1
NOX
NOX
2
NOX
NOX
NOX
NOX
136
urban
Muthaiga
2390492
20524552
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
137
urban
Muthaiga
0086201-01
9123840
NOX
NOX
NOX
NOX
2
2
NOX
NOX
2
3
NOX
NOX
NOX
138
urban
Kyuna
1
NOX
NOX
1
NOX
1
NOX
NOX
3
2
1
NOX
NOX
139
urban
Kileleshwa
2108743-01
9955138
NOX
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
NOX
1
NOX
140
urban
Kileleshwa
2511398-01
20046906
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
141
urban
Kyuna
247726
465669
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
1
1
NOX
142
urban
Kyuna
231779
43939
1
NOX
NOX
1
NOX
1
1
1
2
4
1
NOX
NOX
143
urban
Muthaiga
2390491-02
20524551
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
144
urban
Muthaiga
90179-01
60251420
NOX
NOX
NOX
NOX
1
NOX
1
NOX
2
NOX
2
NOX
NOX
145
urban
Kileleshwa
22511931-01
9849301
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
146
urban
Kyuna
0231742-02
9708272
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
1
147
urban
Kyuna
0246562-03
20455128
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
1
148
urban
Muthaiga
0084647-01
9120762
NOX
NOX
NOX
NOX
1
1
1
NOX
2
1
NOX
NOX
NOX
149
urban
Muthaiga
2389349
20524868
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
150
urban
Muthaiga
2044364
9738321
1
NOX
NOX
1
0
1
1
1
2
1
NOX
NOX
NOX
151
urban
Kileleshwa
2073949-03
9848783
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
1
NOX
NOX
NOX
152
urban
Kileleshwa
2073952-01
9864924
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
NOX
NOX
146
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
153
urban
Kileleshwa
2829734
61000112
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
154
urban
Muthaiga
2389348-01
20524867
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
155
urban
Kyuna
2189997
20082718
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
1
NOX
156
urban
Muthaiga
60267284
NOX
NOX
NOX
NOX
1
1
1
1
2
3
NOX
NOX
NOX
157
urban
Kileleshwa
2365485-01
20423502
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
158
urban
Kileleshwa
0012053-01
96041
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
159
urban
Kileleshwa
231701
20080075
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
160
urban
Muthaiga
2390493
20524553
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
161
urban
Muthaiga
3443517-01
61023368
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
162
urban
Muthaiga
0090690-01
20039417
NOX
NOX
NOX
NOX
2
NOX
1
NOX
2
NOX
NOX
NOX
NOX
163
urban
Kileleshwa
2365491-01
20441261
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
1
NOX
NOX
NOX
164
urban
Kileleshwa
0012063-02
20111216
NOX
NOX
NOX
NOX
1
1
1
1
1
1
NOX
NOX
NOX
165
urban
Kyuna
2171313
20078411
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
NOX
NOX
NOX
NOX
166
urban
Kyuna
246593
20316207
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
5
1
NOX
NOX
NOX
167
urban
Kyuna
2171148
20075605
1
NOX
NOX
NOX
1
NOX
1
NOX
2
1
NOX
1
NOX
168
urban
Kyuna
184431
159621
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
1
1
NOX
NOX
169
urban
MOWLEM
2474420-01
20513860
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
170
urban
MOWLEM
2549350
20682836
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
171
urban
MOWLEM
2751634-01
60181928
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
172
urban
MOWLEM
2973749
60327137
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
147
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
173
urban
MOWLEM
2651395-01
60114055
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
1
NOX
NOX
NOX
174
urban
MOWLEM
3224346-01
60621746
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
175
urban
MLANGO KUBWA
0239886-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
176
urban
MLANGO KUBWA
3159661 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
177
urban
MLANGO KUBWA
260108-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
178
urban
MLANGO KUBWA
3292597 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
179
urban
LAINI SABA
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
180
urban
DANDORA
350260-01
20685808
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
181
urban
DANDORA
2166198-01
20069757
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
182
urban
DANDORA
2308025-01
20323620
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
183
urban
DANDORA
2957279-01
60370248
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
184
urban
DANDORA
2292992-01
20325920
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
185
urban
DANDORA
2991347-01
60338005
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
186
urban
DANDORA
2505807
20646890
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
187
urban
MOWLEM
2926456-01
60417773
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
188
urban
MOWLEM
3529015-01
20499014
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
189
urban
MOWLEM
3444660-01
60865599
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
190
urban
MOWLEM
3390868-01
60919155
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
191
urban
MOWLEM
3180947-01
60779434
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
192
urban
DANDORA
3502635-01
20640481
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
148
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
193
urban
DANDORA
2293009-01
20325907
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
194
urban
DANDORA
2293001-01
20325918
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
195
urban
DANDORA
2293012-01
20325904
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
196
urban
DANDORA
3283204-01
60620982
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
197
urban
DANDORA
3283198-01
60633681
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
198
urban
Kaloleni
0160635-01
20683456
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
199
urban
Kaloleni
160621-01
20090484
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
200
urban
Kaloleni
160616-01
J-246950
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
201
urban
Kaloleni
2123253-01
144253
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
202
urban
Kaloleni
168023-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
203
urban
Kaloleni
2425007-01
20465507
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
204
urban
Shauri Moyo
0282672-02
186343
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
205
urban
Shauri Moyo
0283002-02
433858
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
206
urban
Shauri Moyo
0282727-02
341039
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
207
urban
Shauri Moyo
0282665-02
292465
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
208
urban
Shauri Moyo
0282670-02
322379
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
209
urban
Shauri Moyo
0282738-03
315520
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
210
urban
Shauri Moyo
0282726-02
20091417
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
211
urban
Kaloleni
0160380-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
212
urban
Makongeni
0160551-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
20082121
149
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
213
urban
Makongeni
0160425-01
146162
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
214
urban
Makongeni
0160398-01
20112056
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
215
urban
Makongeni
2998459-01
60361438
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
216
urban
Makongeni
2086178-01
9842250
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
217
urban
Shauri Moyo
282975-05
433905
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
218
urban
Shauri Moyo
0289210-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
219
urban
Shauri Moyo
02237020-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
220
urban
Shauri Moyo
0282991-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
221
urban
Shauri Moyo
292343
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
222
urban
NGARA
3458303-01
60866038
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
223
urban
NGARA
3458280-01
60867408
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
224
urban
NGARA
3453267-01
60866037
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
225
urban
MLANGO KUBWA
2949691-01
60318723
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
226
urban
MLANGO KUBWA
0074273-01
74136
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
1
227
urban
MLANGO KUBWA
2949676-01
60318739
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
1
228
urban
NGARA WEST
0090559-01
9342040
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
229
urban
NGARA WEST
0112176-03
20095677
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
230
urban
NGARA WEST
0112177-02
20079489
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
231
urban
MLANGO KUBWA
0136307-02
367779
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
232
urban
MLANGO KUBWA
2045931-04
9737846
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
282967-01
150
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
233
urban
MLANGO KUBWA
2045925-01
20117613
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
234
urban
NGARA
905558-01
9334836
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
235
urban
NGARA
0060312-01
9340862
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
236
urban
NGARA
0112197-02
668336
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
237
urban
MLANGO KUBWA
2045929-02
9738047
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
238
urban
MLANGO KUBWA
0136306-02
372578
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
239
urban
MLANGO KUBWA
2045920-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
240
urban
NGARA
2034961-02
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
241
urban
NGARA
0238866-02
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
1
NOX
1
NOX
242
urban
NGARA
2076264-02
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
1
NOX
243
urban
MLANGO KUBWA
2949671-01
60318732
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
2
NOX
NOX
NOX
244
urban
MLANGO KUBWA
2949690-01
60318724
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
245
urban
MLANGO KUBWA
3128434-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
246
urban
Mathare North
3234170-01
60806816
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
247
urban
Mathare North
2212746-01
20223573
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
248
urban
Mathare North
3361897-01
60952747
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
249
urban
Mathare North
3562537-01
9845235
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
250
urban
Mathare North
3467413-01
60894939
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
251
urban
Mathare North
3534558-01
20035113
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
252
urban
Area 1
3562543-01
9676518
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
9708437
151
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
253
urban
Drive in
3395466-01
60958041
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
254
urban
Drive in
3423180-01
60964468
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
255
urban
Area 1
3534571-01
9331703
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
256
urban
Drive in
3423214-01
60964472
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
257
urban
Area 1
2212736-01
20232088
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
258
urban
Garden Estate
0082054-01
153101
NOX
NOX
NOX
NOX
3
NOX
1
NOX
3
2
NOX
NOX
NOX
259
urban
Garden Lane
87817-03
NOX
NOX
NOX
NOX
1
NOX
1
NOX
2
1
NOX
1
NOX
260
urban
Garden Estate
0082073-01
NOX
NOX
NOX
NOX
2
NOX
1
1
4
4
NOX
1
NOX
261
urban
Garden Estate
2193439-01
20097645
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
2
1
NOX
1
NOX
262
urban
Kirinyaga Lane
2002405-02
244673
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
263
urban
Garden Estate Road
2144775-01
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
3
1
NOX
1
NOX
264
urban
Garden Estate
2232694-01
20239995
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
1
NOX
NOX
NOX
265
urban
Garden Estate
2423041
20448635
NOX
NOX
NOX
1
1
NOX
NOX
NOX
1
1
NOX
1
NOX
266
urban
Garden Estate
2592085
60076158
NOX
NOX
NOX
NOX
NOX
1
1
NOX
2
1
NOX
1
NOX
267
urban
Garden Estate
2577982-01
60045789
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
268
urban
Garden Estate
157221
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
2
NOX
1
NOX
NOX
269
urban
Garden Estate
20060121
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
270
urban
HIGHVIE PHASE 2
145286370
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
271
urban
HIGHVIE PHASE 3
1450492218
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
272
urban
HIGHVIE PHASE 4
1450327448
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
152
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
273
urban
LENANA
2370418-01
220673240
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
274
urban
LENANA
0075970-01
20102975
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
275
urban
LENANA
2959035-01
60357591
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
276
urban
HIGHVIE PHASE 2
1450377369
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
277
urban
HIGHVIE PHASE 3
1450315435
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
278
urban
HIGHVIE PHASE 4
1450384688
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
279
urban
LENANA
2852705-01
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
1
NOX
NOX
NOX
280
urban
LENANA
2537788-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
281
urban
LENANA
00855447-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
282
urban
HIGHVIE PHASE 2
1450384761
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
283
urban
HIGHVIE PHASE 3
1450499460
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
284
urban
HIGHVIE PHASE 4
1450492184
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
285
urban
LENANA
3076419-01
60513100
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
286
urban
LENANA
2537787-01
20680953
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
287
urban
LENANA
0075972-01
448820
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
288
urban
HIGHVIE PHASE 2
1450710783
1
NOX
NOX
NOX
NOX
1
1
1
1
NOX
NOX
1
NOX
289
urban
HIGHVIE PHASE 3
1450293756
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
1
NOX
NOX
NOX
290
urban
HIGHVIE PHASE 4
1450386428
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
NOX
NOX
291
urban
LENANA
2537796-01
20695755
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
292
urban
LENANA
3076422-01
60511519
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
153
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
293
urban
LENANA
0075982-01
20116099
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
294
urban
Zimmerman
0122875-08
60043421
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
295
urban
Zimmerman
3282252-01
60807730
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
296
urban
Zimmerman
2250140-01
20051437
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
297
urban
Zimmerman
0205092-01
9537509
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
4
NOX
NOX
1
298
urban
Zimmerman
2250110-01
340951
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
299
urban
Zimmerman
2250136-01
20094919
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
300
urban
Zimmerman
2621595
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
301
urban
Zimmerman
2802846-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
302
urban
Zimmerman
099330-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
303
urban
Zimmerman
3426554-01
60909444
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
304
urban
Zimmerman
2792164-01
60100079
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
305
urban
Zimmerman
2802849
60258551
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
306
urban
Mwiki
3247328-01
60818309
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
307
urban
Mwiki
3247338-01
60636380
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
308
urban
Mwiki
361680-01
61068506
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
309
urban
Mwiki
3247335-01
60818306
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
310
urban
Mwiki
3561686-01
61068501
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
311
urban
Mwiki
3247332-01
60818319
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
312
urban
Mwiki
3549081-01
61080544
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
154
NO.
Location of
the
household
Name of the area
or Estate
Account
number
313
urban
Mwiki
3356014-01
314
urban
Mwiki
3549098-01
315
urban
Mwiki
316
urban
317
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
61080613
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
3549085-01
61080540
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
Mwiki
3011597-01
60416374
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
urban
Mwiki
229813
706147
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
318
urban
Shauri Moyo
282996-03
433849
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
319
urban
Shauri Moyo
293126-02
433918
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
320
urban
Shauri Moyo
0290153-02
433842
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
321
urban
Shauri Moyo
265120-01
427183
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
322
urban
Shauri Moyo
2001442-02
9731992
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
323
urban
Shauri Moyo
0282983-03
440351
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
324
urban
Eastleigh Airbase
0244412-01
108254
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
325
urban
Eastleigh Airbase
0244367-02
60499215
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
326
urban
Eastleigh Airbase
2105299-01
9936937
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
327
urban
Eastleigh Airbase
0244354-01
20041223
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
328
urban
Eastleigh Airbase
0244356-01
383161
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
329
urban
Eastleigh Airbase
0244521-03
158618
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
330
urban
Eastleigh
244411-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
331
urban
Eastleigh
2592892-01
60634552
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
332
urban
Eastleigh
2105273-01
99373997
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
155
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Gym
Equipme
nt
Jaccuz
i - spa
Sauna
or
steam
Swimmin
g pool
Electri
c
shaver
Hair
dryers
Vacuu
m
cleane
r
Fan
heater
s
Iron
Box
Rechar
geable
torch
freez
er
large
freezer
mediu
m
freeze
r small
333
urban
Eastleigh
2105304-01
9935509
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
334
urban
Eastleigh
244329-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
335
urban
Eastleigh
0244355-01
38347
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
336
urban
Shauri Moyo
292608-03
424701
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
337
urban
Shauri Moyo
3396018-01
60944923
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
338
urban
Shauri Moyo
3395987-01
60940725
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
339
urban
Shauri Moyo
2366362-01
20437154
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
340
urban
Shauri Moyo
265372
439646
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
341
urban
Shauri Moyo
0283022-04
433861
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
NOX
342
urban
MUGUMO-INI
4216190928
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
343
urban
MUGUMO-INI
0159044-01
20390339
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
344
urban
MUGUMO-INI
158999-01
9331163
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
345
urban
MUGUMO-INI
4202169563
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
346
urban
MUGUMO-INI
4216186918
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
347
urban
MUGUMO-INI
4217725318
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
348
urban
MUGUMO-INI
04202000693
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
4
NOX
NOX
NOX
349
urban
MUGUMO-INI
1450400187
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
350
urban
MUGUMO-INI
4218736926
NOX
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
351
urban
MUGUMO-INI
1450992324
NOX
NOX
NOX
NOX
1
NOX
NOX
1
1
1
NOX
NOX
NOX
159011-01
156
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
0038286-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
ruthimitu
2384653-01
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
rural
ruthimitu
2736908-01
NOX
1
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
004
rural
ruthimitu
3531446-01
NOX
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
005
rural
ruthimitu
2294088-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
006
rural
ruthimitu
3281923-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
007
rural
ruthimitu
0038251-01
6632
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
008
rural
ruthimitu
2831440-01
60265478
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
009
rural
ruthimitu
2019960-01
9875145
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
010
rural
ruthimitu
2366482-02
60286041
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
011
rural
ruthimitu
2474381-01
20461168
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
012
rural
ruthimitu
2506080-01
20663394
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
013
rural
ruthimitu
2273419-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
014
rural
ruthimitu
0041151-01
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
015
rural
ruthimitu
3106910-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
016
rural
ruthimitu
0038292-01
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
017
rural
Ruthimitu
2201836-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
018
rural
Ruthimitu
3210754-01
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
019
rural
Ruthimitu
3281934-01
60632223
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
020
rural
Ruthimitu
0038229-01
60937508
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
001
rural
ruthimitu
002
rural
003
Meter
number
157
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
021
rural
Ruthimitu
38238
252837
NOX
1
NOX
NOX
NOX
1
1
1
NOX
NOX
1
1
022
rural
Ruthimitu
2019964-01
9439904
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
023
rural
Ruthimitu
0041610-01
9514344
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
024
rural
Ruthimitu
3541393-01
60543304
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
NOX
NOX
025
rural
KAUMONI
3418750-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
026
rural
KAUMONI
2708318-01
60226809
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
027
rural
KAUMONI
2596440-01
60164961
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
028
rural
KAUMONI
2727616-01
60164953
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
029
rural
KAUMONI
3142721-01
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
030
rural
KAUMONI
2716955-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
031
rural
KAUMONI
2742486-01
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
032
rural
KAUMONI
2729963-01
6039053
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
033
rural
KAUMONI
3431477-01
60929763
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
034
rural
KAUMONI
2714857-01
60155609
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
035
rural
KAUMONI
2522665-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
036
rural
KAUMONI
2709892-01
60155626
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
037
rural
KAUMONI
2524535-01
60216506
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
038
rural
KAUMONI
26666801-01
60226801
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
039
rural
KAUMONI
2708320-01
60155596
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
040
rural
KAUMONI
60647772
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
158
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
041
rural
KAUMONI
2524522-01
60216521
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
042
rural
KAUMONI
2873598-01
60292985
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
043
rural
KAUMONI
3112454-01
60580268
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
044
rural
KAUMONI
2524540-01
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
045
rural
kilala
2272891-01
2020066
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
046
rural
kilala
2442091-01
20663930
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
047
rural
kilala
2273040-01
20200017
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
048
rural
kilala
2779769-01
20303993
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
049
rural
kilala
2273087-01
20342396
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
050
rural
kilala
2273086-01
20200565
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
051
rural
kilala
2272872-01
20200836
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
052
rural
kilala
3296626-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
053
rural
kilala
2271888-01
20200589
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
054
rural
kilala
3052591-01
9523618
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
055
rural
kilala
2273040-01
20200760
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
056
rural
MAKONGO
3447499-01
60068892
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
057
rural
MAKONGO
3005892-01B
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
058
rural
MAKONGO
3492703-01
20426002
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
059
rural
MAKONGO
3492735-01
60444140
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
060
rural
MAKONGO
2274489-01
20200839
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
159
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
061
rural
MAKONGO
2269509-01
20200042
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
062
rural
MAKONGO
3005892-01A
60331695
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
063
rural
KIVANI
2798280-01
60339204
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
064
rural
KIVANI
2924853-01
60367047
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
065
rural
KIVANI
3250616-01
60632559
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
066
rural
KIVANI
3639123-01
61150090
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
067
rural
KIVANI
3147127-01
60585680
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
068
rural
KIVANI
3250613-01
60632542
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
069
rural
KIVANI
3301574-01
60935008
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
070
rural
KIVANI
2666905-01
60354557
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
071
rural
KIVANI
3405307-01
60893894
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
072
rural
KIVANI
2986005-01
60326206
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
073
rural
KIVANI
3589339-01
61145588
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
074
rural
UKIA-UTAATI
3011758-01
60343566
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
075
rural
UKIA-UTAATI
2272337-01
20300911
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
076
rural
UKIA-UTAATI
60242851
NOX
1
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
NOX
NOX
077
rural
UKIA-UTAATI
3393724-01
60896164
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
078
rural
UKIA-UTAATI
2395304-01
20540296
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
079
rural
UKIA-UTAATI
2339660-01
20342425
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
080
rural
UKIA-UTAATI
2460170-01
20669768
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
160
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
081
rural
KYUASINI
3609848-01
61150393
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
082
rural
KYUASINI
61150084
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
083
rural
KYUASINI
60870675
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
084
rural
IKUA-UTAATI
60927738
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
085
rural
IKUA-UTAATI
2367445-01
20452519
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
086
rural
IKUA-UTAATI
2272335-02
20200850
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
087
rural
IKUA-UTAATI
20200564
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
088
rural
IKUA-UTAATI
2719585-01
60158203
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
1
089
rural
IKUA-UTAATI
3393725-01
60896174
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
090
rural
IKUA-UTAATI
3340363-01
60935012
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
091
rural
IKUA-UTAATI
61145382
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
092
rural
ituka
2647751-01
60118819
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
093
rural
ituka
2648480
60111585
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
094
rural
ituka
2863389
60279837
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
095
rural
ituka
2876640-01
60233363
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
096
rural
MUKUYUNI
2271247-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
097
rural
MUKUYUNI
2583285-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
098
rural
MUKUYUNI
2392447-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
099
rural
NZUUNI
3110217-01
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
100
rural
MUKUYUNI
33354488-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
3371836-01
60072844
61002874
161
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
101
rural
MUKUYUNI
2271690-01
20200236
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
102
rural
MUKUYUNI
2314809-01
20384856
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
103
urban
Savanah
0084028-01
381531
1
NOX
NOX
0
NOX
2
1
1
NOX
NOX
NOX
1
104
urban
Savanah
2954319-01
78429735
NOX
1
NOX
0
NOX
1
NOX
1
NOX
NOX
NOX
NOX
105
urban
Savanah
0084122-01
9847566
NOX
1
NOX
0
NOX
1
NOX
NOX
NOX
1
1
NOX
106
urban
Savanah
3058741-01
60451684
1
NOX
NOX
0
NOX
2
NOX
1
NOX
NOX
NOX
NOX
107
urban
Savanah
0084115-01
20035664
NOX
1
NOX
0
NOX
1
1
1
NOX
NOX
1
1
108
urban
Savanah
0084005-01
435508
NOX
1
NOX
NOX
0
1
1
NOX
NOX
1
1
NOX
109
urban
Savanah
0084084-01
387025
NOX
1
NOX
NOX
1
1
1
1
NOX
1
NOX
NOX
110
urban
Savanah
76519-16
NOX
1
NOX
NOX
NOX
2
1
1
NOX
NOX
NOX
NOX
111
urban
Savanah
0083241-01
941795
1
1
NOX
NOX
NOX
2
NOX
NOX
NOX
1
1
NOX
112
urban
Savanah
84140-06
430885
1
NOX
1
2
NOX
3
1
1
NOX
1
1
1
113
urban
Savanah
2014690-01
9720404
NOX
1
NOX
0
NOX
3
1
NOX
NOX
NOX
NOX
NOX
114
urban
Savanah
0083967-01
334914
1
NOX
NOX
NOX
NOX
2
0
0
NOX
NOX
NOX
1
115
urban
Njiru
3265151-01
60813996
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
116
urban
Njiru
2473337-01
50003989
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
117
urban
Njiru
3237300-01
60621328
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
118
urban
Njiru
2750156-01
201092254
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
119
urban
Njiru
3297933-01
60852431
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
120
urban
Njiru
2528363-01
60354486
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
162
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
121
urban
Njiru
3127647-07
60597726
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
122
urban
Njiru
2889882-01
60469392
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
123
urban
Njiru
3265150-01
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
124
urban
Njiru
3237303-01
60655828
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
125
urban
Njiru
3470226-01
60880988
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
126
urban
Njiru
3467801-01
60909537
NOX
1
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
NOX
127
urban
Kileleshwa
2108745-02
9954581
NOX
1
NOX
NOX
1
NOX
1
1
NOX
1
NOX
NOX
128
urban
Kileleshwa
2896882
60323717
NOX
1
NOX
NOX
1
1
1
1
1
1
NOX
1
129
urban
Kileleshwa
251800
9540586
1
NOX
NOX
NOX
2
1
1
NOX
1
2
NOX
NOX
130
urban
Kileleshwa
2001398
1
NOX
NOX
NOX
NOX
2
1
NOX
NOX
1
1
NOX
131
urban
Kileleshwa
0265731-21
NOX
1
NOX
0
NOX
2
1
NOX
1
1
NOX
NOX
132
urban
Kyuna
2265595-01
NOX
1
NOX
0
NOX
2
1
NOX
NOX
NOX
1
1
133
urban
Kyuna
2507657-02
NOX
1
NOX
NOX
NOX
1
NOX
0
NOX
1
NOX
1
134
urban
MLANGO KUBWA
3159661 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
135
urban
Kileleshwa
0244621-11
1
NOX
NOX
0
NOX
2
NOX
1
NOX
1
1
1
136
urban
Muthaiga
2390492
20524552
NOX
1
NOX
1
NOX
NOX
1
1
NOX
1
NOX
NOX
137
urban
Muthaiga
0086201-01
9123840
2
NOX
NOX
1
NOX
NOX
1
1
1
2
1
1
138
urban
Kyuna
1
NOX
NOX
1
NOX
NOX
1
1
1
1
1
1
139
urban
Kileleshwa
2108743-01
9955138
NOX
2
NOX
NOX
NOX
2
1
1
NOX
1
NOX
NOX
140
urban
Kileleshwa
2511398-01
20046906
1
NOX
1
NOX
NOX
2
1
1
NOX
1
1
NOX
163
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
141
urban
Kyuna
247726
465669
1
1
NOX
1
NOX
1
2
1
NOX
1
1
NOX
142
urban
Kyuna
231779
43939
1
1
NOX
1
NOX
2
1
1
1
1
1
1
143
urban
Muthaiga
2390491-02
20524551
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
1
144
urban
Muthaiga
90179-01
60251420
1
NOX
NOX
1
NOX
NOX
1
NOX
NOX
1
NOX
1
145
urban
Kileleshwa
22511931-01
9849301
NOX
1
NOX
NOX
NOX
3
1
1
NOX
NOX
1
1
146
urban
Kyuna
0231742-02
9708272
NOX
1
NOX
1
NOX
NOX
1
1
NOX
1
NOX
1
147
urban
Kyuna
0246562-03
20455128
NOX
1
NOX
2
NOX
NOX
NOX
1
1
1
NOX
1
148
urban
Muthaiga
0084647-01
9120762
1
NOX
NOX
NOX
NOX
1
1
1
NOX
1
1
NOX
149
urban
Muthaiga
2389349
20524868
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
150
urban
Muthaiga
2044364
9738321
NOX
1
NOX
1
1
1
1
NOX
1
1
NOX
1
151
urban
Kileleshwa
2073949-03
9848783
NOX
1
NOX
1
NOX
3
1
1
NOX
1
1
NOX
152
urban
Kileleshwa
2073952-01
9864924
NOX
1
NOX
1
NOX
1
1
NOX
NOX
1
1
NOX
153
urban
Kileleshwa
2829734
61000112
1
NOX
NOX
NOX
1
1
1
1
NOX
1
NOX
1
154
urban
Muthaiga
2389348-01
20524867
1
NOX
NOX
1
NOX
NOX
0
1
NOX
1
NOX
NOX
155
urban
Kyuna
2189997
20082718
1
NOX
NOX
NOX
NOX
1
NOX
1
1
1
NOX
NOX
156
urban
Muthaiga
60267284
1
NOX
NOX
NOX
NOX
6
2
1
NOX
NOX
NOX
1
157
urban
Kileleshwa
2365485-01
20423502
1
NOX
NOX
NOX
NOX
2
1
1
NOX
1
NOX
NOX
158
urban
Kileleshwa
0012053-01
96041
1
NOX
NOX
NOX
NOX
3
1
1
NOX
2
NOX
1
159
urban
Kileleshwa
231701
20080075
1
1
NOX
NOX
NOX
2
NOX
1
1
NOX
NOX
NOX
160
urban
Muthaiga
2390493
20524553
NOX
1
NOX
NOX
NOX
3
1
NOX
NOX
1
NOX
1
164
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
161
urban
Muthaiga
3443517-01
61023368
2
NOX
NOX
NOX
NOX
2
1
1
NOX
NOX
1
1
162
urban
Muthaiga
0090690-01
20039417
1
NOX
NOX
1
NOX
NOX
1
1
1
1
NOX
1
163
urban
Kileleshwa
2365491-01
20441261
1
1
NOX
1
NOX
NOX
1
1
NOX
1
NOX
1
164
urban
Kileleshwa
0012063-02
20111216
1
NOX
NOX
0
NOX
NOX
1
1
NOX
NOX
1
NOX
165
urban
Kyuna
2171313
20078411
1
NOX
NOX
NOX
NOX
1
1
1
1
1
NOX
1
166
urban
Kyuna
246593
20316207
1
NOX
NOX
1
NOX
1
2
NOX
NOX
1
1
1
167
urban
Kyuna
2171148
20075605
1
NOX
NOX
NOX
NOX
1
1
1
1
1
1
1
168
urban
Kyuna
184431
159621
1
NOX
NOX
NOX
1
NOX
1
1
NOX
1
NOX
NOX
169
urban
MOWLEM
2474420-01
20513860
NOX
1
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
170
urban
MOWLEM
2549350
20682836
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
1
171
urban
MOWLEM
2751634-01
60181928
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
1
172
urban
MOWLEM
2973749
60327137
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
173
urban
MOWLEM
2651395-01
60114055
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
174
urban
MOWLEM
3224346-01
60621746
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
175
urban
MLANGO KUBWA
0239886-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
176
urban
MLANGO KUBWA
3159661 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
177
urban
MLANGO KUBWA
260108-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
178
urban
MLANGO KUBWA
3292597 - 01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
179
urban
LAINI SABA
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
180
urban
DANDORA
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
350260-01
20685808
165
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
181
urban
DANDORA
2166198-01
20069757
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
182
urban
DANDORA
2308025-01
20323620
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
183
urban
DANDORA
2957279-01
60370248
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
184
urban
DANDORA
2292992-01
20325920
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
185
urban
DANDORA
2991347-01
60338005
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
186
urban
DANDORA
2505807
20646890
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
187
urban
MOWLEM
2926456-01
60417773
NOX
1
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
0
NOX
188
urban
MOWLEM
3529015-01
20499014
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
189
urban
MOWLEM
3444660-01
60865599
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
190
urban
MOWLEM
3390868-01
60919155
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
191
urban
MOWLEM
3180947-01
60779434
NOX
1
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
192
urban
DANDORA
3502635-01
20640481
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
193
urban
DANDORA
2293009-01
20325907
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
194
urban
DANDORA
2293001-01
20325918
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
195
urban
DANDORA
2293012-01
20325904
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
196
urban
DANDORA
3283204-01
60620982
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
197
urban
DANDORA
3283198-01
60633681
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
198
urban
Kaloleni
0160635-01
20683456
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
199
urban
Kaloleni
160621-01
20090484
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
200
urban
Kaloleni
160616-01
J-246950
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
166
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
201
urban
Kaloleni
2123253-01
144253
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
202
urban
Kaloleni
168023-01
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
203
urban
Kaloleni
2425007-01
20465507
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
204
urban
Shauri Moyo
0282672-02
186343
NOX
NOX
1
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
205
urban
Shauri Moyo
0283002-02
433858
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
206
urban
Shauri Moyo
0282727-02
341039
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
207
urban
Shauri Moyo
0282665-02
292465
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
208
urban
Shauri Moyo
0282670-02
322379
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
209
urban
Shauri Moyo
0282738-03
315520
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
210
urban
Shauri Moyo
0282726-02
20091417
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
211
urban
Kaloleni
0160380-01
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
212
urban
Makongeni
0160551-01
20082121
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
213
urban
Makongeni
0160425-01
146162
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
214
urban
Makongeni
0160398-01
20112056
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
215
urban
Makongeni
2998459-01
60361438
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
216
urban
Makongeni
2086178-01
9842250
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
217
urban
Shauri Moyo
282975-05
433905
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
218
urban
Shauri Moyo
0289210-01
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
219
urban
Shauri Moyo
02237020-01
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
1
220
urban
Shauri Moyo
0282991-01
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
282967-01
167
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
60866038
NOX
1
NOX
NOX
NOX
1
NOX
1
NOX
NOX
0
NOX
3458280-01
60867408
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
1
NOX
NOX
NGARA
3453267-01
60866037
NOX
1
NOX
NOX
NOX
1
1
1
1
1
NOX
NOX
urban
MLANGO KUBWA
2949691-01
60318723
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
226
urban
MLANGO KUBWA
0074273-01
74136
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
227
urban
MLANGO KUBWA
2949676-01
60318739
NOX
1
NOX
NOX
NOX
1
1
1
NOX
1
NOX
NOX
228
urban
NGARA WEST
0090559-01
9342040
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
229
urban
NGARA WEST
0112176-03
20095677
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
230
urban
NGARA WEST
0112177-02
20079489
1
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
231
urban
MLANGO KUBWA
0136307-02
367779
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
232
urban
MLANGO KUBWA
2045931-04
9737846
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
233
urban
MLANGO KUBWA
2045925-01
20117613
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
234
urban
NGARA
905558-01
9334836
1
NOX
NOX
1
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
235
urban
NGARA
0060312-01
9340862
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
236
urban
NGARA
0112197-02
668336
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
237
urban
MLANGO KUBWA
2045929-02
9738047
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
238
urban
MLANGO KUBWA
0136306-02
372578
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
239
urban
MLANGO KUBWA
2045920-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
240
urban
NGARA
2034961-02
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
221
urban
Shauri Moyo
292343
222
urban
NGARA
3458303-01
223
urban
NGARA
224
urban
225
Meter
number
9708437
168
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
0238866-02
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NGARA
2076264-02
1
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
urban
MLANGO KUBWA
2949671-01
60318732
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
NOX
244
urban
MLANGO KUBWA
2949690-01
60318724
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
1
NOX
NOX
245
urban
MLANGO KUBWA
3128434-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
246
urban
Mathare North
3234170-01
60806816
NOX
NOX
NOX
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
247
urban
Mathare North
2212746-01
20223573
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
248
urban
Mathare North
3361897-01
60952747
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
249
urban
Mathare North
3562537-01
9845235
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
250
urban
Mathare North
3467413-01
60894939
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
251
urban
Mathare North
3534558-01
20035113
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
252
urban
Area 1
3562543-01
9676518
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
253
urban
Drive in
3395466-01
60958041
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
254
urban
Drive in
3423180-01
60964468
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
255
urban
Area 1
3534571-01
9331703
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
256
urban
Drive in
3423214-01
60964472
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
257
urban
Area 1
2212736-01
20232088
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
258
urban
Garden Estate
0082054-01
153101
1
2
NOX
NOX
NOX
3
1
2
NOX
2
1
NOX
259
urban
Garden Lane
87817-03
NOX
1
NOX
1
NOX
2
1
1
NOX
1
1
NOX
260
urban
Garden Estate
0082073-01
1
1
NOX
1
NOX
2
2
1
1
2
1
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
241
urban
NGARA
242
urban
243
Meter
number
169
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
261
urban
Garden Estate
2193439-01
20097645
NOX
1
NOX
NOX
1
4
1
1
NOX
1
NOX
1
262
urban
Kirinyaga Lane
2002405-02
244673
NOX
1
NOX
NOX
1
1
1
1
NOX
NOX
1
NOX
263
urban
Garden Estate Road
2144775-01
1
NOX
NOX
1
NOX
NOX
3
2
2
2
1
NOX
264
urban
Garden Estate
2232694-01
20239995
1
NOX
NOX
1
NOX
NOX
1
1
NOX
1
1
NOX
265
urban
Garden Estate
2423041
20448635
1
NOX
NOX
NOX
NOX
2
1
1
NOX
NOX
NOX
NOX
266
urban
Garden Estate
2592085
60076158
1
NOX
NOX
1
NOX
3
1
NOX
1
NOX
1
1
267
urban
Garden Estate
2577982-01
60045789
NOX
1
1
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
268
urban
Garden Estate
157221
NOX
NOX
NOX
NOX
NOX
1
2
NOX
NOX
1
NOX
NOX
269
urban
Garden Estate
20060121
NOX
1
NOX
1
NOX
2
1
NOX
1
NOX
NOX
NOX
270
urban
HIGHVIE PHASE 2
145286370
NOX
1
NOX
NOX
NOX
0
NOX
1
NOX
NOX
NOX
NOX
271
urban
HIGHVIE PHASE 3
1450492218
1
NOX
NOX
NOX
NOX
0
0
NOX
NOX
NOX
NOX
NOX
272
urban
HIGHVIE PHASE 4
1450327448
NOX
NOX
NOX
NOX
NOX
0
NOX
NOX
NOX
NOX
NOX
NOX
273
urban
LENANA
2370418-01
220673240
1
NOX
NOX
NOX
NOX
NOX
NOX
0
NOX
1
NOX
NOX
274
urban
LENANA
0075970-01
20102975
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
275
urban
LENANA
2959035-01
60357591
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
276
urban
HIGHVIE PHASE 2
1450377369
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
277
urban
HIGHVIE PHASE 3
1450315435
1
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
NOX
1
278
urban
HIGHVIE PHASE 4
1450384688
1
NOX
NOX
NOX
NOX
2
NOX
NOX
NOX
NOX
NOX
NOX
279
urban
LENANA
2852705-01
NOX
NOX
NOX
NOX
NOX
2
1
1
NOX
NOX
1
1
280
urban
LENANA
2537788-01
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
1
1
NOX
NOX
170
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
00855447-01
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
HIGHVIE PHASE 2
1450384761
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
urban
HIGHVIE PHASE 3
1450499460
1
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
NOX
284
urban
HIGHVIE PHASE 4
1450492184
1
NOX
NOX
NOX
NOX
1
0
0
NOX
NOX
NOX
NOX
285
urban
LENANA
3076419-01
60513100
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
286
urban
LENANA
2537787-01
20680953
NOX
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
287
urban
LENANA
0075972-01
448820
NOX
1
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
288
urban
HIGHVIE PHASE 2
1450710783
NOX
1
NOX
NOX
NOX
1
1
NOX
NOX
NOX
1
NOX
289
urban
HIGHVIE PHASE 3
1450293756
NOX
1
NOX
NOX
NOX
1
0
1
NOX
1
1
NOX
290
urban
HIGHVIE PHASE 4
1450386428
NOX
1
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
291
urban
LENANA
2537796-01
20695755
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
292
urban
LENANA
3076422-01
60511519
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
293
urban
LENANA
0075982-01
20116099
NOX
1
NOX
NOX
NOX
NOX
1
1
NOX
1
NOX
NOX
294
urban
Zimmerman
0122875-08
60043421
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
295
urban
Zimmerman
3282252-01
60807730
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
296
urban
Zimmerman
2250140-01
20051437
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
297
urban
Zimmerman
0205092-01
9537509
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
298
urban
Zimmerman
2250110-01
340951
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
299
urban
Zimmerman
2250136-01
20094919
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
300
urban
Zimmerman
2621595
NOX
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
281
urban
LENANA
282
urban
283
Meter
number
171
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
2802846-01
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
Zimmerman
099330-01
NOX
1
NOX
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
urban
Zimmerman
3426554-01
60909444
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
304
urban
Zimmerman
2792164-01
60100079
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
305
urban
Zimmerman
2802849
60258551
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
306
urban
Mwiki
3247328-01
60818309
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
307
urban
Mwiki
3247338-01
60636380
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
308
urban
Mwiki
361680-01
61068506
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
309
urban
Mwiki
3247335-01
60818306
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
310
urban
Mwiki
3561686-01
61068501
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
311
urban
Mwiki
3247332-01
60818319
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
312
urban
Mwiki
3549081-01
61080544
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
313
urban
Mwiki
3356014-01
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
314
urban
Mwiki
3549098-01
61080613
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
315
urban
Mwiki
3549085-01
61080540
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
316
urban
Mwiki
3011597-01
60416374
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
317
urban
Mwiki
229813
706147
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
318
urban
Shauri Moyo
282996-03
433849
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
319
urban
Shauri Moyo
293126-02
433918
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
320
urban
Shauri Moyo
0290153-02
433842
NOX
1
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NO.
Location of
the
household
Name of the area
or Estate
Account
number
301
urban
Zimmerman
302
urban
303
Meter
number
172
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
321
urban
Shauri Moyo
265120-01
427183
NOX
NOX
NOX
NOX
NOX
1
NOX
1
NOX
1
NOX
NOX
322
urban
Shauri Moyo
2001442-02
9731992
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
323
urban
Shauri Moyo
0282983-03
440351
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
324
urban
Eastleigh Airbase
0244412-01
108254
1
NOX
NOX
NOX
NOX
1
1
1
NOX
1
1
NOX
325
urban
Eastleigh Airbase
0244367-02
60499215
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
326
urban
Eastleigh Airbase
2105299-01
9936937
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
327
urban
Eastleigh Airbase
0244354-01
20041223
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
328
urban
Eastleigh Airbase
0244356-01
383161
NOX
1
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
329
urban
Eastleigh Airbase
0244521-03
158618
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
NOX
330
urban
Eastleigh
244411-01
NOX
1
NOX
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
331
urban
Eastleigh
2592892-01
60634552
1
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
1
NOX
332
urban
Eastleigh
2105273-01
99373997
NOX
1
NOX
NOX
1
NOX
1
1
NOX
1
1
NOX
333
urban
Eastleigh
2105304-01
9935509
NOX
NOX
1
NOX
1
1
1
NOX
NOX
NOX
1
NOX
334
urban
Eastleigh
244329-01
NOX
NOX
1
NOX
NOX
1
1
1
NOX
NOX
1
NOX
335
urban
Eastleigh
0244355-01
38347
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
1
NOX
336
urban
Shauri Moyo
292608-03
424701
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
337
urban
Shauri Moyo
3396018-01
60944923
NOX
NOX
1
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
338
urban
Shauri Moyo
3395987-01
60940725
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
NOX
339
urban
Shauri Moyo
2366362-01
20437154
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
1
NOX
340
urban
Shauri Moyo
265372
439646
NOX
1
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
173
NO.
Location of
the
household
Name of the area
or Estate
Account
number
Meter
number
Refrigerato
r large
Refrigerato
r medium
Refrigerato
r small
Geyser
heater
Immersio
n heater
Instant
shower
heater
Blender/Ju
icer
Bread
Toaster
Coffe
e
maker
Electric
kettle
Water
dispenser
Water
booster
pump(s)
341
urban
Shauri Moyo
0283022-04
433861
NOX
1
NOX
NOX
1
NOX
1
NOX
NOX
1
NOX
NOX
342
urban
MUGUMO-INI
4216190928
NOX
1
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
343
urban
MUGUMO-INI
0159044-01
20390339
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
NOX
344
urban
MUGUMO-INI
158999-01
9331163
NOX
1
NOX
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
NOX
345
urban
MUGUMO-INI
4202169563
1
NOX
NOX
NOX
NOX
1
NOX
NOX
NOX
1
1
NOX
346
urban
MUGUMO-INI
4216186918
1
NOX
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
347
urban
MUGUMO-INI
4217725318
NOX
1
NOX
NOX
1
1
NOX
NOX
NOX
NOX
1
NOX
348
urban
MUGUMO-INI
0420200069-3
1
NOX
NOX
NOX
1
1
1
NOX
NOX
NOX
NOX
1
349
urban
MUGUMO-INI
1450400187
NOX
1
NOX
NOX
1
1
1
1
NOX
1
NOX
NOX
350
urban
MUGUMO-INI
4218736926
1
NOX
NOX
NOX
NOX
1
1
NOX
NOX
NOX
NOX
NOX
351
urban
MUGUMO-INI
1450992324
NOX
1
NOX
NOX
NOX
1
1
1
1
1
1
NOX
159011-01
174
Appendix 16 Questionnaire for Household appliances ownership
UNIVERSITY OF NAIROBI
DEPARTMENT OF MECHANICAL AND MANUFACTURING ENGINEERING
ELECTRICAL APPLIANCES HOUSEHOLD SURVEY
1.0 General Information
1.1 Name (Optional)
1.2 Profession (household owner)
What is your monthly
household income?
How many people are
1.4 staying in the house
currently?
51-70 yrs
above 70 yrs
1.5 Household location
Urban ☐
Sub-urban ☐
1.3
1.6
Low ☐
0-5 yrs
How long have you lived
in this house?
Medium ☐
6-18 yrs
19-30 yrs
High ☐
31-50 yrs
Rural ☐
Years
2.0 Power Consumption Information
What is your source of electrical
2.1
Grid
☐
Own/captive ☐
power?
What is your KPLC service Account
2.2
Tariff: DC ☐
No.?
2.3 KPLC Region/Location
Do you know your average monthly
2.4
power consumption?
Yes ☐
DC D0 ☐
No ☐
175
Grid power consumption per month for the last 3 years:
2010
Month
2.5
Cons.
(kWh/M)
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Total
2011
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Total
Cons.
(kWh/M)
Own generated power consumption:
Solar
Generator
set
Biogas System
Rating (kW)
Hours /day
Fuel Cons. (lts/m3)/day
176
3.0 Household Appliances/Equipments Power Consumption
Appliance/Equipment
Model
(Technology)
Year of
manuf.
/purchase
Number in
the
household
Power
Rating
(w, or kW)
Hours of use
per day
(weekdays)
Hours of use
per day
(weekends)
Refrigerator
Microwave
Electric Cooker
Iron Box
Television
Radio/Hi-fi System
DVD/VCD Player
Blender/Juicer
Coffee maker
Bread Toaster
Electric kettle
Immersion heater
Mobile charger(s)
Printer
Personal Computer
Scanner
3.1
Air conditioning system
Fan heaters
Rechargeable torch
Instant shower heater
Geyser heater
Electric shaver
Blow dryer
Wash Machine**
Freezer
Deep fryer
Water booster pump (s)
Satellite Decoder
Others (specify)
177
4.0 Lighting Power Consumption
S. No.
Lighting
fixture type
Incandescent
1.0
(ordinary bulbs)
2.0
Fluorescent Tubes
3.0
Compact Fluorescent Lamps
(CFLs)s(energy savers)
4.0
Light Emitting Diodes (LED)
Lamps
5.0
Tungsten halogen
Mercury Vapour
Sodium Vapour
Others (specify)
4.1
Power Rating
Number
Hours of
use/day
Location in
the house
25W
40W
60W
75W
100W
others
14W & below
(specify)
18W
20W
28W
32W
36W
40W
58W
60W
Other
11W & below
(specify)
12-15W
16-20W
21W & above
(specify)
5W
10 W
15 W
Others (specify)
178
179