Geographic Coordinate System: GCS_WGS_1984 Datum: D_WGS_1984 Source: CSA and GII

Geographic Coordinate System: WGS 84 Datum: World Geodetic System 1984

The dataset titled "Addis Ababa City Administration Woreda Boundary" provides detailed geographic information on the administrative divisions within Addis Ababa, Ethiopia. It includes shapefiles delineating the boundaries of both subcities and woredas (districts) within the city. Each feature in the dataset is attributed with identifiers and names corresponding to specific subcities and woredas, facilitating spatial analysis and mapping of Addis Ababa's administrative structure.​

This dataset is particularly useful for urban planning, resource allocation, and various analyses requiring precise administrative boundary data within Addis Ababa.

Original source: "https://data.moa.gov.et/dataset/addis-ababa-city-administration-woreda-boundary">Addis Ababa City Administration Woreda Boundary

Shapefiles for Ethiopia's Administrative boundaries: Regions, Zones and Woredas

Abstract

This survey was conducted as part of a review of the different civil service reform tools in Ethiopia, to assess what has been achieved, and what to consider next. The review aimed to take stock of what has been done, identify remaining and potential new challenges, and draw lessons, as well as suggest recommendations on how to move further ahead in the coming years to foster a fair, responsible, efficient, ethical, and transparent civil service. A survey of civil servants at the Federal, Regional and Woreda levels was implemented that focused on five sectors, namely, agriculture, education, health, revenue administration, and trade.

The aim of the Ethiopia Civil Servant Survey was to gather micro-level data on the perceptions and experiences of civil servants, and on the key restraints to civil servants performing their duties to the best of their abilities, and to the provision of public goods. This civil servant survey aimed to contribute to the development of diagnostic tools which would allow to better understand the incentive environments which lead to different types of behavior and the determinants of service delivery in the civil service.

Report available at: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/981311547566282423/moving-further-on-civil-service-reforms-in-ethiopia-findings-and-implications-from-a-civil-service-survey-and-qualitative-analysis

Geographic coverage

At the Federal level 330 individuals were planned to be interviewed; 550 at the Region level (Harar, Afar, SNNPR, Oromiya, Amhara, Dire Dawa, Addis Ababa, Benishangul, Somali, Tigray, Gambella); and 1615 at the Woreda (66 Woredas) level. Within each region 50 individuals were targeted to be interviewed, except in Addis Ababa, where the target was 40 due to not having an agriculture bureau, and except in Oromiya, where, due to additional funds becoming available, the target became 60. Within each Woreda, 25 individuals were planned to be sampled.

Analysis unit

Public servants, including managers and non-managers at the Federal, Regional and Woreda levels.

Kind of data

Aggregate data [agg]

Sampling procedure

To provide a large sample for statistical analysis, while remaining within budget, the Ethiopian civil servants survey focused on the three major policy making tiers of government: Federal; Regional; and Woreda. The Ministry of Public Sector and Human Resource Development identified the 5 core sectors that the survey should include: agriculture, education, health, revenue, and trade. The decision was made then to plan to interview a sufficient number of individuals from each of those tiers and allocate the remaining funds to Woreda-level interviews. With this methodology, with the funds available, 70 Woredas were included in the target sample at the planning stage. At the Federal level 330 individuals were planned to be interviewed; 550 at the Region level; and 1615 at the Woreda level. Within each region 50 individuals were targeted to be interviewed, except in Addis Ababa, where the target was 40 due to not having an agriculture bureau, and except in Oromiya, where, due to additional funds becoming available, the target became 60. Within each Woreda, 25 individuals were planned to be sampled.

Stratified randomization was conducted to select 70 Woredas from the 9 regional states in a way that is proportional to the size of the region (in terms of number of Woredas as per the 2007 census). However, 4 Woredas were dropped due to security challenges.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey questionnaire comprises following modules: 1- Cover page, 2- Demographic and work history information, 3- Management practices, 4- Turnover, 5- Recruitment and selection, 6- Attitude, 7- Time use and bottlenecks, 8- Information, 9- Information technology, 10- Stakeholder engagement, 11- Reforms, and 12- Woreda and city benchmarking.

The questionnaire was prepared in English and Amharic.

Response rate

Response rate was 88%.

Abstract

We study the impact of a light-touch job facilitation intervention that supported young female jobseekers during the application process for factory work in a newly constructed industrial park in Ethiopia. Using data from a panel of 687 jobseekers and randomized access to the support intervention, we find that treated applicants are more likely to be employed and have higher earnings and savings 8 months after baseline, although these impacts are short-lived. Four years later, the effects on employment and income largely dissipated. Our results suggest that young women face significant barriers to engaging in factory work in the short run that a simple job facilitation intervention can help overcome. In the long term, however, these jobs do not offer a better alternative than other income-generating opportunities.

Geographic coverage

The project targeted geographically the outskirts of Addis Ababa, Bole Lemi Industrial Parks. More details under Sampling.

Analysis unit

Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

The impact evaluation estimates the impact of supporting and facilitating the job application process for young women seeking a production line position at three factories in the Bole Lemi Industrial Park in Addis Ababa (Ethiopia). These firms were all foreign-owned and produced finished garments for export. They also had large-scale hiring plans for the study duration. Each firm agreed to interview the applicants the research team randomized into the study sample. Given that all firms were only considering female applicants, the study sample comprises only women.

The research team advertised for the factory positions and directed interested applicants to a local sub-district (woreda) administration office for registration. The factory positions were advertised using various methods, including posting advertisements in public places, passing out flyers in high-traffic areas of the city, coordinating with youth associations and utilizing other forms of community mobilization. Unemployed individuals who have registered with their local woreda were also contacted directly by a professional HR consultant.

During the recruitment process, those individuals identified as potential candidates were told to bring their identification and qualification documents to the nearest screening center which was set up in several woreda offices across three sub-cities of Addis Ababa. These screening centers were staffed by trained enumerators every day of the working week from 9am-3pm.

During the scheduled opening hours, enumerators reviewed the documentation of the interested applicants who visited the screening centers and determined their eligibility for the advertised positions. Applicants with incomplete documentation, for example, those who did not have personal identification cards or those who did not meet any of the firms’ eligibility criteria (i.e. applicants fell outside the targeted age range or were unable to provide proof of the required education) were screened out from the study.

Eligible individuals received an invitation to interview with an Industrial Park firm and were provided transportation to the factory for the interview. All applicants who met the eligibility criteria and had proper documentation to prove their eligibility were selected into the sample and asked to stay for the baseline survey. Study participants were then randomized into treatment and control, with two-thirds of applicants in the treatment group and one-third in the control group using a public lottery method. Once randomized, the treatment applicants were assigned a specific firm to interview with. Following the interview, the firms decided whether to make a job offer to the applicants and initiate any hiring procedures for the individuals who they wanted to hire.

Mode of data collection

Face-to-face [f2f]

Research instrument

The baseline, midline and endline survey questionnaires are provided for download in English. The questionnaire comprises the following modules:

Baseline A – Female job seeker Module - Baseline S1 - Identification and Consent S2 – Demographics and Health S3 – Human Capital S4 – Household and Networks S5 – Cash, Savings and Remittances S6 – Women’s Status
S7 – Conscientiousness
S8 – Job Search and Perceptions S9 – Work History S10 – Wealth S11 – Cognitive S12 – Time and Risk S13 – Domestic Violence S14 – Income Risk S15 – Conclusions

Midline B – Female job seeker Module S1 - Identification and Consent S2 – Demographics and Health S11 – Cognitive (Position 1) S3 – Human Capital S4 – Household and Networks S5 – Cash, Savings and Remittances S6 – Women’s Status S8 – Job Search and Perceptions S9 – Work History S10 – Wealth S12 – Time and Risk S13 – Domestic Violence S14 – Income Risk S11 – Cognitive (Position 2) S15 – Conclusions

Endline C – Female job seeker Module S1 - Identification and Consent S2 – Demographics and Health S11 – Cognitive (Position 1) S3 – Human Capital S4 – Household and Networks S5 – Cash, Savings and Remittances S6 – Women’s Status S8 – Job Search and Perceptions S9 – Work History S10 – Wealth S12 – Time and Risk S13 – Domestic Violence S14 – Income Risk S11 – Cognitive (Position 2) S15 – Conclusions

Notes on survey modules:

Sections numbering - Some baseline sections have been removed in midline and endline questionnaires. Thus, baseline and endline section numbering is not continuous. We have chosen to keep them in this order and not to number them so that the prefixes of the variable names (s1, s2, s3, s4, etc) correspond to the sections of the questionnaires.

Cognitive section – The baseline questionnaire includes one cognitive section while midline and endline questionnaires include two. The goal was to assess whether randomizing the position (or timing) of the cognitive skills questions would alter the quality of survey questions. Some people were asked these questions early in the survey and some others later on. The authors did not find significant variations between the two approaches.

Credit report of Yonatan Fikre Woreda 09 Addis Ketema Ethiopia contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Credit report of Alliance Flowers Plcbole Woreda 05 Addis Abebaethiopie contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Abstract

The Women in Agribusiness Leaders Network (WALN) uses a randomized controlled trial (RCT) design to differentially assess the impact of the first stage traditional training program and a second stage mentorship which is carried out by the trainees in the first stage training. Half the mentors and mentees eligible to participate in WALN were randomly assigned to receive the business training and mentoring interventions, respectively. The other halves, called the control groups, did not receive the interventions. Comparing the treated groups to the control groups allows us to calculate the impact of the program on the outcomes measured through data collection. ACDI/VOCA, the program implementer, created a pool of eligible applicants based on a pre-determined set of selection criteria that were applied to information that applicants provided in their application forms. Potential mentees were also nominated at the same time that applicants (later to become mentors) were applying to the program. The pool of eligible applicants became the sample for the baseline survey, the data for which has been added in this package. Treatment was randomly assigned to eligible applicants who also responded to the baseline survey. The program operated in AGP target woredas of five regions of Ethiopia: Tigray, Amhara, Oromia, Addis Ababa and SNNPR. The impact evaluation covers the business training and mentoring activities across all regions. Mentor randomization was stratified by region and firm-size tercile. Mentees of treated mentors were randomly assigned to receive mentoring, stratified by each mentor’s pool of eligible mentees. Mentees nominated by control mentors were also included in the impact evaluation but were not assigned a mentoring treatment status.

Geographic coverage

The program operated in woredas of five regions of Ethiopia: Tigray, Amhara, Oromia, Addis Ababa and SNNPR.

Analysis unit

Individuals

Universe

For the baseline survey, the plan was to interview at least all the 200 participants in mentors treatment and control groups, as well as all the 1,600 eligible and ineligible mentees. By the time survey field work started, mid-April 2014, just at the closure of the application period and before the selection of eligible applications, the sample included 234 applicant mentors; adding recommended mentees, the total number of households to be surveyed had become close to 1,600 in total. In this data we have information on a total of 231 (potential) mentors and 1,363 (potential) mentees, including those who later dropped out of the program or were ineligible because of some criteria.

Kind of data

Sample survey data [ssd]

Sampling procedure

The program operated woredas of five regions of Ethiopia: Tigray, Amhara, Oromia, Addis Ababa and SNNPR. Only eligible applicants were considered at the time of the random allocation into the "program" or "control" groups. The implementer used pre-established selection criteria and the responses to long-from questions to determine the eligibility of applicants. Women who met the eligibility criteria for participating in the WALN program, who completed the application form to provide at least one letter of recommendation and nominate five to eight mentees were considered in the pool of mentors who receive the leadership training module. Mentees were selected from amongst the nominated candidates who met the corresponding eligibility criteria. Mentees were assigned only to the mentors who nominated them. To minimize non-compliance and maximize the effectiveness of existing network ties, if multiple mentors nominated the same mentee, the mentee were allowed to pick the mentor.

The baseline survey covered the entire sample of applicants to the program. That is, the mentors and the recommended mentees were all interviewed at the end of the application phase, but before the announcement of selection results.

The objective of the WALN baseline survey was to build a comprehensive dataset, which would serve as a reference point for the entire sample, before treatment and control assignment and program implementation. To get a better understanding of the context of the survey, this section describes the survey preparation steps and methodology.

Sampling deviation

None

Mode of data collection

Computer Assisted Personal Interview [capi]

Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et al.,2022), which makes them vulnerable to permanent loss. Cognizant of the problem, the Coalition of the Willing (CoW) for data sharing and access was created in 2018 with joint support and coordination of the Alliance Bioversity-CIAT and GIZ (https://www.ethioagridata.com/index.html). Mobilizing its members, the CoW has embarked on data rescue operations including data ecosystem mapping, collation, and curation of the legacy data, which was put into the central data repository for its members and the wider data user’s community according to the guideline developed based on the FAIR data principles and approved by the CoW. So far, CoW managed to collate and rescue about 20,000 legacy soil profile data and over 38,000 crop responses to fertilizer data (Tamene et al.,2022). The legacy soil profile dataset (consisting of Profiles Site = 2,612 observations with 37 variables; Profiles Layer Field = 6,150 observations with 64 variables; Profiles Layer Lab= 4,575 observations with 76 variables) is extracted, transformed, and uploaded into a harmonized template (adapted from Batjes 2022; Leenaars et al, 2014) from the below source: Bilateral Ethiopian-Netherlands Effort for Food, Income and Trade (BENEFIT) Partnership which is a portfolio of five programs (ISSD, Cascape, ENTAG, SBN, and REALISE) and is funded by the government of the Kingdom of Netherlands through its embassy in Addis Ababa. The Cascape program has conducted several studies, including soil surveys and mappings in AGP weredas in Tigray, Amhara, Oromia,and SNNPR in Ethiopia. The program (then Cascape project) as a collaborator of MoA/ATA has produced a map-database and soildataset of the major soil types (at 250-m resolution) of the landscapes of the 30 Cascape intervention-AGP weredas studied in 2013-2015: 5 of Tigray, 5 of Amhara, 15 of Oromia, and 5 of SNNPR.

Reference: Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et al.,2022), which makes them vulnerable to permanent loss. Cognizant of the problem, the Coalition of the Willing (CoW) for data sharing and access was created in 2018 with joint support and coordination of the Alliance Bioversity-CIAT and GIZ (https://www.ethioagridata.com/index.html). Mobilizing its members, the CoW has embarked on data rescue operations including data ecosystem mapping, collation, and curation of the legacy data, which was put into the central data repository for its members and the wider data user’s community according to the guideline developed based on the FAIR data principles and approved by the CoW. So far, CoW managed to collate and rescue about 20,000 legacy soil profile data and over 38,000 crop responses to fertilizer data (Tamene et al.,2022). The legacy soil profile dataset (consisting of Profiles Site = 2,612 observations with 37 variables; Profiles Layer Field = 6,150 observations with 64 variables; Profiles Layer Lab= 4,575 observations with 76 variables) is extracted, transformed, and uploaded into a harmonized template (adapted from Batjes 2022; Leenaars et al, 2014) from the below source: Bilateral Ethiopian-Netherlands Effort for Food, Income and Trade (BENEFIT) Partnership which is a portfolio of five programs (ISSD, Cascape, ENTAG, SBN, and REALISE) and is funded by the government of the Kingdom of Netherlands through its embassy in Addis Ababa. The Cascape program has conducted several studies, including soil surveys and mappings in AGP weredas in Tigray, Amhara, Oromia,and SNNPR in Ethiopia. The program (then Cascape project) as a collaborator of MoA/ATA has produced a map-database and soildataset of the major soil types (at 250-m resolution) of the landscapes of the 30 Cascape intervention-AGP weredas studied in 2013-2015: 5 of Tigray, 5 of Amhara, 15 of Oromia, and 5 of SNNPR.

Reference: Ashenafi, A., Tamene, L., and Erkossa, T. 2020. Identifying, Cataloguing, and Mapping Soil and Agronomic Data in Ethiopia. CIAT Publication No. 506. International Center for Tropical Agriculture (CIAT). Addis Ababa, Ethiopia. 42 p. https://hdl.handle.net/10568/110868 Ashenafi, A., Erkossa, T., Gudeta, K., Abera, W., Mesfin, E., Mekete, T., Haile, M., Haile, W., Abegaz, A., Tafesse, D. and Belay, G., 2022. Reference Soil Groups Map of Ethiopia Based on Legacy Data and Machine Learning Technique: EthioSoilGrids 1.0. EGUsphere, pp.1-40. https://doi.org/10.5194/egusphere-2022-301 Tamene L; Erkossa T; Tafesse T; Abera W; Schultz S. 2021. A coalition of the Willing - Powering data-driven solutions for Ethiopian Agriculture. CIAT Publication No. 518. International Center for Tropical Agriculture (CIAT). Addis Ababa, Ethiopia. 34 p. https://www.ethioagridata.com/Resources/Powering%20Data-Driven%20Solutions%20for%20Ethiopian%20Agriculture.pdf. The Coalition of the Willing (CoW) website: https://www.ethioagridata.com/index.html. Batjes, N.H., 2022. Basic principles for compiling a profile dataset for consideration in WoSIS. CoP report, ISRIC–World Soil Information, Wageningen. Contents Summary, 4(1), p.3. Carvalho Ribeiro, E.D. and Batjes, N.H., 2020. World Soil Information Service (WoSIS)-Towards the standardization and harmonization of world soil data: Procedures Manual 2020. Elias, E.: Soils of the Ethiopian Highlands: Geomorphology and Properties, CASCAPE Project, 648 ALTERRA, Wageningen UR, the Netherlands, library.wur.nl/WebQuery/isric/2259099, 649 2016. Leenaars, J. G. B., van Oostrum, A.J.M., and Ruiperez ,G.M.: Africa Soil Profiles Database, Version 1.2. A compilation of georeferenced and standardised legacy soil profile data for Sub Saharan Africa (with dataset), ISRIC Report 2014/01, Africa Soil Information Service (AfSIS) project and ISRIC – World Soil Information, Wageningen, library.wur.nl/WebQuery/isric/2259472, 2014. Leenaars, J. G. B., Eyasu, E., Wösten, H., Ruiperez González, M., Kempen, B.,Ashenafi, A., and Brouwer, F.: Major soil-landscape resources of the cascape intervention woredas, Ethiopia: Soil information in support to scaling up of evidence-based best practices in agricultural production (with dataset), CASCAPE working paper series No. OT_CP_2016_1, Cascape. https://edepot.wur.nl/428596, 2016. Leenaars, J. G. B., Elias, E., Wösten, J. H. M., Ruiperez-González, M., and Kempen, B.: Mapping the major soil-landscape resources of the Ethiopian Highlands using random forest, Geoderma, 361, https://doi.org/10.1016/j.geoderma.2019.114067, 2020a. 740 . Leenaars, J. G. B., Ruiperez, M., González, M., Kempen, B., and Mantel, S.: Semi-detailed soil resource survey and mapping of REALISE woredas in Ethiopia, Project report to the BENEFIT-REALISE programme, December, ISRIC-World Soil Information, Wageningen, 2020b. TERMS: Access to the data is limited to the CoW members until the national soil and agronomy data-sharing directive of MoA is registered by the Ministry of Justice and released for implementation. DISCLAIMER: The dataset populated in the harmonized template consisting of 76 variables is extracted, transformed, and uploaded from the source document by the CoW. Hence, if any irregularities are observed, the data users have referred to the source document uploaded along with the dataset. Use of the dataset and any consequences arising from using it is the user’s sole responsibility.

Tamene L; Erkossa T; Tafesse T; Abera W; Schultz S. 2021. A coalition of the Willing - Powering data-driven solutions for Ethiopian Agriculture. CIAT Publication No. 518. International Center for Tropical Agriculture (CIAT). Addis Ababa, Ethiopia. 34 p. https://www.ethioagridata.com/Resources/Powering%20Data-Driven%20Solutions%20for%20Ethiopian%20Agriculture.pdf. The Coalition of the Willing (CoW) website: https://www.ethioagridata.com/index.html. Batjes, N.H., 2022. Basic principles for compiling a profile dataset for consideration in WoSIS. CoP report, ISRIC–World Soil Information, Wageningen. Contents Summary, 4(1), p.3. Carvalho Ribeiro, E.D. and Batjes, N.H., 2020. World Soil Information Service (WoSIS)-Towards the standardization and harmonization of world soil data: Procedures Manual 2020. Elias, E.: Soils of the Ethiopian Highlands: Geomorphology and Properties, CASCAPE Project, 648 ALTERRA, Wageningen UR, the Netherlands, library.wur.nl/WebQuery/isric/2259099, 649 2016. Leenaars, J. G. B., van Oostrum, A.J.M., and Ruiperez ,G.M.: Africa Soil Profiles Database, Version 1.2. A compilation of georeferenced and standardised legacy soil profile data for Sub Saharan Africa (with dataset), ISRIC Report 2014/01, Africa Soil Information Service (AfSIS) project and ISRIC – World Soil Information, Wageningen, library.wur.nl/WebQuery/isric/2259472, 2014. Leenaars, J. G. B., Eyasu, E., Wösten, H., Ruiperez González, M., Kempen, B.,Ashenafi, A., and Brouwer, F.: Major soil-landscape resources of the cascape intervention woredas, Ethiopia: Soil information in support to scaling up of evidence-based best practices in agricultural production (with dataset), CASCAPE working paper series No. OT_CP_2016_1, Cascape. https://edepot.wur.nl/428596, 2016. Leenaars, J. G. B., Elias, E., Wösten, J. H. M., Ruiperez-González, M., and Kempen, B.: Mapping the major soil-landscape resources of the Ethiopian Highlands using random forest, Geoderma, 361, https://doi.org/10.1016/j.geoderma.2019.114067, 2020a. 740 . Leenaars, J. G. B., Ruiperez, M., González, M., Kempen, B., and Mantel, S.: Semi-detailed soil resource survey and mapping of REALISE woredas in Ethiopia, Project report to the BENEFIT-REALISE programme, December, ISRIC-World Soil Information, Wageningen,

IntroductionGlobally, nearly three million children die in the neonatal period. Although there is scant information about rural mothers, the enhancement of mothers' knowledge and skills toward essential newborn care (ENC) is a vital aspect in the reduction of newborn illness and mortality. Thus, this study aimed to assess the magnitude and determinants of mothers' knowledge of ENC.MethodsA community-based cross-sectional study was conducted among recently delivered women using a multistage sampling method in Chole woreda. Data were collected via face-to-face interviews. A multivariate logistic regression model was used to identify the determinant factors with the level of knowledge. Odds ratios with a 95% confidence interval was used to describe association and significance was determined at a P-value < 0.05.ResultsData from 510 mothers were employed for analysis. Overall, 33.5% (95% CI: 29.4, 37.6) of the mothers had good knowledge of ENC. Antenatal care (ANC) visits [AOR: 2.42; 95% CI: (1.50, 3.88)], counseled about ENC during ANC [AOR: 5.71; 95% CI: (2.44, 13.39)], delivery at health institutions [AOR: 2.41; 95% CI: (1.30, 4.46)], religion [AOR 1.99, 95% CI: (1.25, 3.16)], and educational level [AOR = 1.64 95% CI: (1.10, 2.51)] were significantly associated with knowledge of ENC. About 74, 75, and 41% of mothers practiced appropriate cord care, breastfeeding, and thermal care, respectively.ConclusionThree out of 10 mothers had a good level of knowledge of ENC. Knowledge gaps identified pertained to cord care, breastfeeding, and thermal care. There is opportunity to enhance maternal knowledge of ENC through improving access to ANC and institutional delivery.