The Feed the Future Ethiopia Land Governance Activity (LGA) is a five-year project funded by USAID, following three successfully implemented land governance projects it supported during 2005 – 2018, i.e. (i) Ethiopia Land Tenure Administration Project (ELTAP) 2005- 2008; Ethiopia Land Administration Project (ELAP) 2008-2013, and Land Administration to Nurture Development (LAND) 2013-2018. The overall goal of LGA is to assist the Government of Ethiopia (GoE), its regions and citizens to strengthen land governance, increase incomes, reduce conflict, and support well-planned urbanization, thereby contributing to the country’s Ten-Year Development Plan. To help achieve this purpose, the LGA works in close partnership with relevant institutions in the GoE, Ethiopian academic and research institutions, civil society, the private sector, and other development partners operating in the land sector to implement activities under two components. Component 1 strengthens the national land governance system, while Component 2 expands communal land tenure security in pastoral areas. This dataset presents the results of the quantitative baseline study conducted in the pilot urban and peri-urban areas of Dukem Town, from January 20, 2021 to February 20, 2021, to establish baseline data for comparison to support the program impact measurement as part of future project evaluation and to guide a realistic and feasible target setting for the selected performance indicators. A household survey was administered to a representative sample of 171 households (out of the 1,500 targeted households) in Dukem town to collect quantitative data with a questionnaire length of an average of 50 minutes. All personally identifiable information (e.g., GIS data) was removed from the dataset to protect the personal information of survey respondents.

This dataset provides a two-tier annual Land Use (LU) and Urban Land Cover (LC) product suite over three African countries, Ethiopia, Nigeria, and South Africa, across a 5-year period of 2016-2020. Remote sensing data sources were used to create 30-m resolution LU maps (Tier-1), which were then utilized to delineate urban boundaries for 10-m resolution LC classes (Tier-2). Random Forest machine learning classifier models were trained on reference data for each tier and country (but one model was trained across all years); models were validated using a separate reference data set for each tier and country. Tier-1 LU maps were based on the 30-m Landsat time series, and Tier-2 urban LC maps were based on the 10-m Sentinel-2 time series. Additional data sources included climate, topography, night-time light, and soils. The overall map accuracy was 65-80% for Tier-1 maps and 60-80% for Tier-2 maps, depending on the year and country. The data are provided in cloud optimized GeoTIFF (COG) format.

인천광역시 연도별 농업진흥구역, 농업보호구역 면적에 관한 항목명으로 구성되어 있는 정보를 나타냅니다. * 면적(단위 : ha)

충청남도 보령시 법정리별 토지지목별 필지수, 면적현황

매년 전국 광역지자체(17개), 기초지자체(229개)의 시도별, 시군구별 및 4대강 수계별 전(밭), 답(논), 임야, 대지, 기타 토지에 대한 면적을 조사하여 비교 검토한 데이터

The overall objective of the USAID-supported Ethiopia Strengthening Land Administration Program (ELAP) program is to assist the Government of Ethiopia to strengthen and enhance rural land tenure security and land administration systems. ELAP was implemented by Tetra Tech ARD. The endline community survey and data collection activities were carried out by The Cloudburst Group. The purpose of the community data collection is to generate qualitative and quantitative data which will be analyzed to understand the economic and social impacts of ELAP.

This impact evaluation examined USAID’s Land Tenure Assistance (LTA) activity, which was implemented in Iringa District, Tanzania from 2015 to 2019. LTA assisted in land use planning and delivering formalized documentation of customary rights to village residents, known as Certificates of Customary Rights of Occupancy (CCROs), through the use of the Mobile Application to Secure Tenure application. The evaluation randomized treatment assignment across 60 villages, with half receiving LTA’s activities. The five evaluation questions cover the following household outcomes: documentation and tenure security, land disputes, land use and investment, empowerment, and economic well-being. The evaluation team conducted data collection via a panel survey of 1,361 households over three stages (two baseline phases, an interim midline phase for a subset of households, and an endline phase). The evaluation found that within three years of CCRO receipt, LTA had a large and significant positive impact on household tenure security and documentation of land rights, reduced the likelihood of current and future land disputes, and had a smaller positive impact on use of communal land. LTA did not appear to impact the likelihood of fallowing, crop diversification, household land investments, access to credit, or other indicators of household economic well-being during that timeframe.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet of three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.