STP_2018_MTF_v01_M
Multi-Tier Framework for Measuring Energy Access 2018
Acesso à Energia Baseado numa Categorização Multinível 2018
Name | Country code |
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São Tomé and Príncipe | STP |
Other Household Survey
The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The first phase is being carried out in 17 countries across Latin America, Africa, and Asia. The survey's objective is to provide more nuanced data on energy access, including access to electricity and cooking solutions. The MTF approach goes beyond the traditional binary measurement of energy access-for example, "having or not having" a connection to electricity, and "using or not using" clean fuels in cooking - to capture the multidimensional nature of energy access and the vast range of technologies and sources that can provide energy access, while accounting for the large differences in user experiences. The MTF survey provides detailed household energy data for governments, development partners, the private sector, non-governmental organizations, investors, and service providers.
The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The first phase is being carried out in 17 countries across Latin America, Africa, and Asia. The survey's objective is to provide more nuanced data on energy access, including access to electricity and cooking solutions. The MTF approach goes beyond the traditional binary measurement of energy access-for example, "having or not having" a connection to electricity, and "using or not using" clean fuels in cooking - to capture the multidimensional nature of energy access and the vast range of technologies and sources that can provide energy access, while accounting for the large differences in user experiences.
The Global Survey on Energy Access using the Multi-Tier Framework approach in Sao Tome and Principe (2018) has as its primary objectives:
Sample survey data [ssd]
Household
Data provided by the survey firm with all personal information, such as names and GPS locations, removed.
The scope of the Global Survey on Energy Access using the Mutli-Tier Framework approach in Sao Tome and Principe (2018) includes:
A) Household roster/respondents' characteristics
B) Household characteristics
C) Supply and demand of electricity - electricity from national grid, electricity from mini grid, electric generator set, externally recharged battery, solar based devices, and the main source of electricity.
D) Willingness to pay for a grid connection
E) Willingness to pay for solar device
F) Oil lamp/fuel-based lightning/candles
G) Dry cell (rechargeable or non-rechargeable) batteries
H) Household fuel consumption - for cooking only
I) Use of cooking solutions
J) Space and water heating
K) Household assets: leisure and transport equipment
L) Street lighting
M) Time use
N) Health impacts
O) Household economic shocks
P) Household land ownership and other assets
Q) Attitudes
R) Women's empowerment
National coverage
Name | Affiliation |
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ESMAP | World Bank |
Name |
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The World Bank |
Name | Affiliation |
---|---|
Alberto Leal | AFAP |
Homero Esperanca | EMAE |
Elisa Cardoso | General Statistical Office |
The primary objective of the sample design for the Global Survey on Energy Access based on the Multi-Tier Framework approach conducted in Sao Tome and Principe (2018) was to achieve nationally and regionally representative samples. The household survey sample selection was based on a stratified household sampling by urban/rural strata and connected/not connected to the national electric grid. The selection of households was done through a systematic method. Households were ordered by urban/rural, grid-connected/non-grid-connected and for their geographic coordinates (from North to South). The sampling frame used for this stratified random sampling was the national listing of permanent residences, obtained from the national listing of all buildings in the country conducted before data collection. This listing was based on the existing information from the National Institute of Statistics (INE-STP) Geographic Operational Base (BOG), which was built during the last census.
The design for sampling permanently occupied households was based on a stratified random sampling, composed of 16 strata:
To maintain a 1:1 ratio of electrified to non-electrified households for the tier analysis and equal allocation between urban and rural areas, this would result in 150 households per strata (total of 2400 households).
The goal of the sampling strategy for the MTF survey was 150 households per strata. However, it was not possible to assure such dimension for the urban-not connected to the grid criteria in the Principe region where only 65 households of this strata were listed. To compensate, 85 households were added to the urban-not connected to the grid strata within the other three regions. The final sample size was 2,396 households.
Start | End |
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2018-03-01 | 2018-05-31 |
Name | Affiliation |
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Ceso Consulting | Private consulting firm |
No editing was done, except removal of personal identifying information.
Public use
Use of the dataset must be acknowledged using a citation which would include:
Example,
Energy Sector Management Assistance Program (ESMAP), World Bank. Sao Tome and Principe - Multi-Tier Framework for Measuring Energy Access Household Survey (MTF) 2018. Ref. STP_2018_MTF_v01_M. Dataset downloaded from [url] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
(c) 2018, The World Bank
Name | Affiliation | |
---|---|---|
Han Kyul Yoo | World Bank | hyoo@worldbank.org |
DDI_STP_2018_MTF_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the study |
2019-08-23
Version 01 (August 2019).