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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
24 March 2024
Posted:
25 March 2024
Read the latest preprint version here
Countries in this study | Number of displaced persons |
Algeria | 102753 |
Angola | 55981 |
Burkina Faso | 1917317 |
Burundi | 99251 |
Cameroon | 1473294 |
Central African Republic | 527348 |
Chad | 1080557 |
Congo | 97074 |
Cote d'Ivoire | 937027 |
Democratic Republic of the Congo | 6063761 |
Djibouti | 30197 |
Egypt | 358523 |
Ethiopia | 4208422 |
Kenya | 1078815 |
Libya | 206330 |
Malawi | 56560 |
Mali | 441449 |
Mauritania | 106370 |
Mozambique | 1060234 |
Niger | 716412 |
Nigeria | 3379779 |
Rwanda | 149218 |
Somalia | 3002276 |
South Africa | 150912 |
South Sudan | 2167672 |
Sudan | 4685356 |
Tanzania | 247196 |
Uganda | 4144589 |
Zambia | 81090 |
Zimbabwe | 23063 |
Countries without data or a displaced population below 20000, and not in this study |
Number of displaced persons |
Equatorial Guinea | no data |
Mauritius | no data |
Sao Tome and Principe | no data |
Seychelles | no data |
Cape Verde | 115 |
Sierra Leone | 324 |
Benin | 2639 |
Gabon | 280 |
Gambia | 3883 |
Ghana | 11048 |
Guinea | 2252 |
Guinea-Bissau | 54 |
Liberia | 1441 |
Namibia | 7268 |
Senegal | 12062 |
Togo | 9876 |
Tunisia | 8929 |
Botswana | 900 |
Comoros | 17 |
Eritrea | 136 |
Lesotho | 545 |
Madagascar | 245 |
Eswatini | 2161 |
Morocco | 18066 |
Sum | 74973 |
Total number of displaced persons in Africa | 36059666 |
Share of excluded countries | 0,2% |
Tracking SDG 7 – The Energy Progress Report | ||
Dimension | Assessment | Score |
Timeliness | The latest publication of the Energy Progress Report is from 2022 and represents the results for the year 2021. | 1 |
Completeness | 29 from the 30 countries that have been selected for our work have also been considered in the Energy Progress Report. | 2 |
Accuracy | The Energy Progress Report is based on the collection of census and survey data. However, the data sources lack of information for some regions and some surveys are not updated regularly. The missing data is therefore estimated by using modelling tools (for example the nonparametric modelling). | 1 |
Coherence | The methodology used for the creation of the data is common. The data collection is done by desk research while several modelling tools are used to fill the missing data for the creation of the dataset. The report is updated on a regular basis, allowing the resulting dataset to be compared to other sources. | 2 |
Interpretability | The reporting source gives access to a detailed description of the methodology as well as further background information on the work. The additional information allows to interpret and use the data correctly. | 2 |
Total score | 8 |
Humanitarian Energy Data Platform | ||
Dimension | Assessment | Score |
Timeliness | The source only mentions when the dataset was published (2020). It is not possible to calculate the number of years elapsed since the data was collected. | 0 |
Completeness | The country coverage varies depending on the considered subject. For instance, the section “Country Market Analysis” covers 21 countries whereas the section “National Energy Data” covers 51 countries. The minimum coverage corresponds to 16 out of 30 countries that are considered in our analysis. | 0 |
Accuracy | The dataset was created by using different sources with different levels of accuracy and methodologies (data survey and models). The reporting source states that the work does not represent a complete picture of the humanitarian energy situation but rather an overview of factors that influence the current trends of the humanitarian energy environment. | 1 |
Coherence | The dataset is based on common methods (e.g. surveys, interviews). A comparison with sources however shows that the data is incoherent. Any interpretation deriving from the analysis of the data and any use with other sources should be done with the knowledge that the dataset is not coherent. | 1 |
Interpretability | A description of the methodology is available. The objective of the analysis as well as the used sources and contributors are mentioned. However, the link to the data is missing which makes it difficult to find the exact data source. | 1 |
Total score | 3 |
Refugee Settlements Electricity Access (RSEA) | ||
Dimension | Assessment | Score |
Timeliness | The dataset was published in 2021 and shows data collected in 2020. | 1 |
Completeness | The analysis includes 21 out of the 30 countries considered in our analysis. | 0 |
Accuracy | The dataset is based on data from existing literature (academic articles, white papers) as well as field research (surveys, interviews). The collected data was cross-referenced for consistency. | 2 |
Coherence | The dataset was created by using common methods including desk research, field data collection and interviews with stakeholders. The reporting source has published a paper which explains the work and its purpose in detail. We have not found any incoherence in the data and therefore conclude that this source can be used in combination with other sources. | 2 |
Interpretability | The work is described in detail in a research paper allowing a clear view on the used methodology. The purpose as well as the limitations of the work are explained so that the data can be interpreted correctly. | 2 |
Total score | 7 |
UNHCR refugee data finder | ||
Dimension | Assessment | Score |
Timeliness | The data was published in 2023 and shows the results of the analysis for the year 2022. The dataset is updated every six months. | 2 |
Completeness | All the countries selected for our analysis are covered by the dataset. | 2 |
Accuracy | The work is based on different data sources which all represent real world data, including population censuses, surveys and administrative records. Statistical frameworks specifically developed for the analysis of forcibly displaced persons are used to complement the data analysis. | 2 |
Coherence | The source uses methodologies that are common for a population count (statistical analysis based on population censuses, surveys, administrative data records, etc.). There has not been found any incoherence during our analysis of the data. | 2 |
Interpretability | A detailed description of the used methodology is available and allows to interpret and use the data correctly. The source also gives access to further documents with detailed descriptions of the analysis that lead to the creation of the dataset. | 2 |
Total score | 10 |
Regulatory Indicators for Sustainable Energy (RISE) | ||
Dimension | Assessment | Score |
Timeliness | The dataset was published in 2022 and represents the results for the year 2021. | 1 |
Completeness | The source does not have the same country coverage for each section. The minimum coverage is 26 out of 30 countries considered in our analysis. | 1 |
Accuracy | The dataset is based on desk research and field data (surveys). The reporting sources gives access to the used data sources and additional information related to the analysis. It should be noted that the results are not representing any real-world data but rather a score which is based on the specific framework that was developed for this analysis (RISE framework). A certain subjectiveness should therefore be attributed to the work which also influences its accuracy. | 1 |
Coherence | The used methodology is explained in detail. Any incoherence in the dataset was not found. | 2 |
Interpretability | The reporting source gives access to the methodology and further information that allows a clear understanding of what the dataset can be used for. The sources that were used for the creation of the dataset are also shared on the web page of the reporting source. | 2 |
Total score | 7 |
Moving Energy Initiative | ||
Dimension | Assessment | Score |
Timeliness | The information was obtained from different sources with the oldest dating back to 2014. | 0 |
Completeness | The source does not have the same country coverage for each section. The lowest coverage is 18 out of 30 countries considered in our analysis. | 0 |
Accuracy | A scientific article was published which describes the methodology of the work in detail. It is stated that the dataset is based on a simple model which does not lead to accurate results. | 0 |
Coherence | The dataset was created with common methods and can be used with other datasets if it is understood that the data represents more an indication than a detailed picture. The dataset shows some incoherencies (e.g. description for type of cooking fuel, see section 2 GPA UNITAR). | 1 |
Interpretability | A detailed description of the methodology used in this work is presented in the scientific article. It is clear what the work is intended to show and how the data should be interpreted. | 2 |
Total score | 3 |
Countries | Number of displaced persons |
---|---|
Algeria | 102,753 |
Angola | 55,981 |
Burkina Faso | 1,917,317 |
Burundi | 99,251 |
Cameroon | 1,473,294 |
Central African Republic | 527,348 |
Chad | 1,080,557 |
Congo | 97,074 |
Cote d'Ivoire | 937,027 |
Democratic Republic of the Congo | 6,063,761 |
Djibouti | 30,197 |
Egypt | 358,523 |
Ethiopia | 4,208,422 |
Kenya | 1,078,815 |
Libya | 206,330 |
Malawi | 56,560 |
Mali | 441,449 |
Mauritania | 106,370 |
Mozambique | 1,060,234 |
Niger | 716,412 |
Nigeria | 3,379,779 |
Rwanda | 149,218 |
Somalia | 3,002,276 |
South Africa | 150,912 |
South Sudan | 2,167,672 |
Sudan | 4,685,356 |
Tanzania | 247,196 |
Uganda | 4,144,589 |
Zambia | 81,090 |
Zimbabwe | 23,063 |
Dimension | Indicator | Points | ||
---|---|---|---|---|
Timeliness | Number of years elapsed since the data was collected/created. | More than four years or the number of years cannot be calculated | 0 | |
Between two and four years | 1 | |||
One year | 2 | |||
Completeness | Does the data include countries considered in our analysis? | No | 0 | |
Yes | Coverage error is greater than 20 % | 0 | ||
Coverage error is between 10 and 20 % | 1 | |||
Coverage error is less than 10 % | 2 | |||
Accuracy | Does the reporting source give additional information (e.g. metadata, description of the collection and analysis of data) that help to determine the accuracy of the dataset? | No | 0 | |
Yes | The data is based on a methodology that leads to inaccurate results (e.g. models with insufficient information, assumptions). | 0 | ||
The dataset is based on an appropriate methodology that leads to synthetic data (e.g. models with sufficient information). | 1 | |||
The dataset is based on an appropriate methodology that leads to real-world data (e.g. detailed surveys). | 2 | |||
Coherence | Does the dataset use a common methodology that allows to compare and use the data with datasets from other sources? | No | 0 | |
Yes | The dataset is incoherent. | 1 | ||
The dataset is coherent. | 2 | |||
Interpretability | Is a detailed description of the methodology and relevant background information (objective of the analysis, used sources and contributors) available? | No | 0 | |
Yes | The information used for the creation of the dataset are not suitable for the considered analysis. | 1 | ||
The information used for the creation of the dataset are suitable for the considered analysis. | 2 |
Level | Information | Indicator | Source |
---|---|---|---|
Country | General | Energy access in rural and urban areas | [55] |
Regulations and policies for energy access | [59] | ||
Specific to the displacement context | Electricity access for displaced persons | [56] | |
Access to clean cooking for displaced persons | |||
Access to lighting for displaced persons | |||
Number of projects | [54] | ||
Camp or Settlement | Specific to the displacement context | Camp population | [54,56,57] |
Electricity access for displaced persons | [54] | ||
Access to clean cooking for displaced persons | [54,56] | ||
Access to lighting for displaced persons | [56] | ||
Livelihood | [54] |
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