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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
jdc_operational:000050 | 25 | 0 | road user satisfaction surveys | 1,509 | 1,539 | descriptive | descriptive | survey | third party integrated performance audits and road user satisfaction surveys | true | null | |
jdc_operational:000050 | 25 | 1 | Road User Satisfaction Survey | 1,307 | 1,336 | named | named | survey | Road User Satisfaction Survey consultants to carry out baseline, midterm, and end-stage user satisfaction surveys | true | null | |
jdc_operational:000050 | 26 | 0 | Road User Satisfaction Survey | 406 | 435 | named | named | survey | The grant would finance the construction cost of civil works and costs of construction supervision consultants, third-party audit consultants, safeguards management consultants for implementation of Resettlement Action Plans, consultants/NGOs for implementation of GBV, VAC, and HIV/AIDS action plans, Road User Satisfac... | true | null | |
jdc_operational:000050 | 28 | 2 | Uganda Refugee and Host Communities 2018 Household Survey | 267 | 324 | named | named | survey | World Bank 2019, Informing the Refugee Policy Response in Uganda, Results from the Uganda Refugee and Host Communities 2018 Household Survey | true | null | |
jdc_operational:000050 | 31 | 0 | Road Accident Database Management System | 849 | 889 | named | named | system | Completion of development and operationalization of a Road Accident Database Management System | true | null | |
jdc_operational:000050 | 32 | 0 | Road Accident Database Management System | 597 | 637 | named | named | system | the Project will ensure that Road Accident Database Management System is disaggregated by gender | true | null | |
jdc_operational:000050 | 32 | 0 | citizens/refugee/road user satisfaction surveys | 1,725 | 1,772 | descriptive | descriptive | survey | The Project will undertake regular citizens/refugee/road user satisfaction surveys to gauge the perception of road users and communities | true | null | |
jdc_operational:000050 | 38 | 0 | Road User Satisfaction Survey | 1,298 | 1,327 | named | named | survey | The Road User Satisfaction Survey consultant will carry out baseline, mid-term, and end-stage user satisfaction surveys | true | null | |
jdc_operational:000050 | 38 | 1 | satisfaction surveys | 2,137 | 2,157 | descriptive | descriptive | survey | results of satisfaction surveys | true | null | |
jdc_operational:000050 | 3 | 0 | Uganda Demographic and Health Survey | 1,263 | 1,299 | named | named | survey | UDHS|Uganda Demographic and Health Survey | true | null | |
jdc_operational:000050 | 41 | 1 | current and future traffic forecasts | 792 | 828 | descriptive | descriptive | estimates | Based on current and future traffic forecasts, upgrading of the KYM road corridor is expected to reduce GHG emissions | true | null | |
jdc_operational:000050 | 41 | 1 | GoU IFMIS | 1,773 | 1,782 | named | named | system | the GoU IFMIS is used for counterpart funding | true | null | |
jdc_operational:000050 | 44 | 0 | data base | 250 | 259 | vague | vague | database | Complaints should be tracked by establishing a data base | true | null | |
jdc_operational:000050 | 44 | 2 | procurement records | 477 | 496 | descriptive | descriptive | administrative | UNRA procured space in a warehouse for procurement records | true | null | |
jdc_operational:000050 | 45 | 0 | procurement complaints records system | 1,220 | 1,257 | descriptive | named | system | put in place a procurement complaints records system | true | null | |
jdc_operational:000050 | 47 | 1 | cadastral survey estimations available from the RAP | 1,334 | 1,385 | descriptive | descriptive | other | Based on cadastral survey estimations available from the RAP | false | null | |
jdc_operational:000050 | 47 | 2 | comprehensive census | 783 | 803 | descriptive | descriptive | census | carrying out a comprehensive census | true | null | |
jdc_operational:000050 | 53 | 0 | cadastral survey estimations | 1,631 | 1,659 | descriptive | descriptive | other | Based on cadastral survey estimations available from the draft Resettlement Action Plan (RAP) | false | null | |
jdc_operational:000050 | 56 | 0 | Crash data | 224 | 234 | descriptive | vague | other | Crash data entered into system, publicly reported, and used in decision making | true | null | |
jdc_operational:000050 | 56 | 0 | Baseline surveys | 963 | 979 | descriptive | descriptive | survey | Baseline surveys to be done | true | null | |
jdc_operational:000050 | 56 | 1 | Baseline surveys | 55 | 71 | descriptive | descriptive | survey | Baseline surveys to be done | true | null | |
jdc_operational:000050 | 59 | 0 | Crash data | 736 | 746 | descriptive | vague | other | Crash data entered into system, publicly reported, and used in decision making | true | null | |
jdc_operational:000050 | 59 | 1 | Police data | 303 | 314 | named | descriptive | administrative | Police data | true | null | |
jdc_operational:000050 | 61 | 0 | Police records | 627 | 641 | descriptive | descriptive | administrative | Police records, data collected by supervision consultants and contractor | true | null | |
jdc_operational:000050 | 61 | 1 | Government data | 563 | 578 | descriptive | descriptive | administrative | Government data, data collected by M&E consultants | true | null | |
jdc_operational:000050 | 63 | 1 | Road User Satisfaction Survey | 208 | 237 | named | named | survey | The Road User Satisfaction Survey consultant will carry out baseline, midterm, and end stage user satisfaction surveys | true | null | |
jdc_operational:000050 | 69 | 1 | data on procurement activities | 997 | 1,027 | descriptive | vague | other | STEP, a planning and tracking system, which would provide data on procurement activities | true | null | |
jdc_operational:000050 | 75 | 2 | Global Risk Data Platform | 216 | 241 | named | named | system | Global Risk Data Platform | true | null | |
jdc_operational:000050 | 75 | 2 | International Disaster Database | 401 | 432 | named | named | database | The International Disaster Database - Centre for Research on the Epidemiology of Disasters (CRED) | true | null | |
jdc_operational:000050 | 76 | 2 | high-resolution gridded data of month-by-month variation in climate | 977 | 1,044 | descriptive | descriptive | geospatial | ⟦high-resolution gridded data of month-by-month variation in climate⟧ | true | null | |
jdc_operational:000050 | 77 | 1 | safety data collection and management system | 570 | 614 | descriptive | descriptive | system | ⟦safety data collection and management system⟧ are part of contingency planning | true | null | |
jdc_operational:000050 | 7 | 0 | INSTITUTIONAL DATA | 677 | 695 | descriptive | vague | other | **⟦INSTITUTIONAL DATA⟧** | false | null | |
jdc_operational:000050 | 80 | 0 | road safety data | 1,015 | 1,031 | descriptive | vague | other | deploy ⟦road safety data⟧ collection and management | true | null | |
jdc_operational:000050 | 80 | 0 | Road Accident Database Management System | 1,180 | 1,220 | named | named | database | the establishment of a ⟦Road Accident Database Management System⟧, which will collate all data associated with road accidents | true | null | |
jdc_operational:000050 | 82 | 1 | road safety data | 238 | 254 | descriptive | vague | other | and ⟦road safety data⟧ collection and management as part of contingency planning | true | null | |
jdc_operational:000050 | 82 | 1 | accident data | 332 | 345 | vague | vague | other | including ⟦accident data⟧ attributed to climate change | true | null | |
jdc_operational:000051 | 15 | 2 | UNHCR data | 627 | 637 | named | named | database | ⟦UNHCR data⟧ as of December 31, 2021 | true | null | |
jdc_operational:000051 | 16 | 1 | Global Gender Gap Index | 1,218 | 1,241 | named | named | indicator | ranks 147 out of 153 countries for the ⟦Global Gender Gap Index⟧ | true | null | |
jdc_operational:000051 | 16 | 1 | Gender Inequality Index | 1,269 | 1,292 | named | named | indicator | and 187 out of 189 for the ⟦Gender Inequality Index⟧ | true | null | |
jdc_operational:000051 | 16 | 2 | Mean annual temperature projections | 594 | 629 | descriptive | descriptive | estimates | ⟦Mean annual temperature projections⟧ indicate | true | null | |
jdc_operational:000051 | 16 | 2 | Notre Dame Global Adaptation Initiative Country Index | 805 | 858 | named | named | indicator | ⟦Notre Dame Global Adaptation Initiative Country Index⟧: | true | null | |
jdc_operational:000051 | 18 | 0 | SNE data | 1,541 | 1,549 | named | named | other | based on ⟦SNE data⟧ | true | null | |
jdc_operational:000051 | 20 | 1 | national electrification analysis for Chad | 1,961 | 2,003 | descriptive | descriptive | other | informed by the preliminary outcomes of the ongoing ⟦national electrification analysis for Chad⟧ | false | null | |
jdc_operational:000051 | 20 | 2 | national electrification analysis for Chad | 117 | 159 | descriptive | descriptive | other | the preliminary outcomes of the ongoing ⟦national electrification analysis for Chad⟧ | false | null | |
jdc_operational:000051 | 23 | 1 | Corporate Results Indicator | 244 | 271 | named | named | indicator | ⟦Corporate Results Indicator⟧, number | false | null | |
jdc_operational:000051 | 28 | 0 | Survey on Expenditure of Households and Informal Sector in Chad | 640 | 703 | named | named | survey | informed by the outcomes of the ⟦Survey on Expenditure of Households and Informal Sector in Chad⟧ | true | null | |
jdc_operational:000051 | 28 | 0 | survey on ability and willingness of rural households | 803 | 856 | descriptive | descriptive | survey | and a ⟦survey on ability and willingness of rural households⟧ to pay for electricity services | true | null | |
jdc_operational:000051 | 2 | 0 | Demographic and Health Survey | 902 | 931 | named | named | survey | |DHS|=⟦Demographic and Health Survey⟧| | true | null | |
jdc_operational:000051 | 2 | 0 | Survey on Expenditure of Households and Informal Sector in Chad | 941 | 1,004 | named | named | survey | |ECOSIT|=⟦Survey on Expenditure of Households and Informal Sector in Chad⟧ | true | null | |
jdc_operational:000051 | 30 | 0 | forestry-based geographical information system | 2,031 | 2,077 | descriptive | descriptive | system | institutionalization of ⟦forestry-based geographical information system⟧ in the Directorate of Forests | true | null | |
jdc_operational:000051 | 30 | 2 | satisfaction surveys | 161 | 181 | descriptive | descriptive | survey | and ⟦satisfaction surveys⟧ | true | null | |
jdc_operational:000051 | 37 | 1 | national electrification analysis for Chad | 1,105 | 1,147 | descriptive | descriptive | other | the preliminary outcomes of the ongoing ⟦national electrification analysis for Chad⟧ that prioritized isolated power systems | false | null | |
jdc_operational:000051 | 42 | 1 | STEP | 34 | 38 | named | named | other | recorded in STEP as well. Use of ⟦STEP⟧ is mandatory for all procurement transactions | false | null | |
jdc_operational:000051 | 46 | 2 | Demographic Health Survey | 762 | 787 | named | named | survey | ⟦Demographic Health Survey⟧ (DHS), 2014–15 | true | null | |
jdc_operational:000051 | 47 | 0 | annual stakeholder surveys | 1,263 | 1,289 | descriptive | descriptive | survey | beneficiaries’ feedback will be sought through ⟦annual stakeholder surveys⟧ | true | null | |
jdc_operational:000051 | 48 | 1 | sexdisaggregated data | 427 | 448 | descriptive | descriptive | other | Limited ⟦sexdisaggregated data⟧ are available | true | null | |
jdc_operational:000051 | 48 | 1 | global data | 474 | 485 | vague | vague | other | but ⟦global data⟧ indicate that women are underrepresented | true | null | |
jdc_operational:000051 | 49 | 1 | Corruption Perceptions Index | 741 | 769 | named | named | indicator | kept Chad at the bottom of the ⟦Corruption Perceptions Index⟧ for years | true | null | |
jdc_operational:000051 | 51 | 1 | 2021 Chad RRA | 1,842 | 1,855 | named | named | other | Underscored by the ⟦2021 Chad RRA⟧ | false | null | |
jdc_operational:000051 | 58 | 0 | Data provided by PIU | 255 | 275 | descriptive | descriptive | other | ⟦Data provided by PIU⟧ | true | null | |
jdc_operational:000051 | 59 | 0 | Data provided by SNE | 247 | 267 | named | descriptive | other | ⟦Data provided by SNE⟧ operational units and Owner's Engineer | true | null | |
jdc_operational:000051 | 59 | 1 | Data provided by SNE | 150 | 170 | named | descriptive | other | ⟦Data provided by SNE⟧ | true | null | |
jdc_operational:000051 | 67 | 1 | PRAMS | 1,618 | 1,623 | named | named | other | according to the last ⟦PRAMS⟧ | false | null | |
jdc_operational:000051 | 72 | 0 | UNHCR map | 333 | 342 | named | named | geospatial | the ⟦UNHCR map⟧ provided at the end of the annex | true | null | |
jdc_operational:000051 | 73 | 1 | already available data | 1,657 | 1,679 | vague | vague | other | targeting of refugees will be coordinated with them through ⟦already available data⟧ | true | null | |
jdc_operational:000051 | 75 | 0 | UNHCR Data on Refugees and Asylum Seekers in Chad | 83 | 132 | named | named | administrative | **Figure 2.1. ⟦UNHCR Data on Refugees and Asylum Seekers in Chad⟧** | true | null | |
jdc_operational:000051 | 76 | 0 | data on the share of female-headed households in Chad | 842 | 895 | descriptive | descriptive | indicator | according to more recent ⟦data on the share of female-headed households in Chad⟧ that are provided in annex 6 | true | null | |
jdc_operational:000051 | 76 | 0 | Chad DHS | 1,133 | 1,141 | named | named | survey | _Source:_ ⟦Chad DHS⟧ (2015) and author’s calculations | true | null | |
jdc_operational:000051 | 76 | 1 | Chad DHS | 970 | 978 | named | named | survey | _Source:_ ⟦Chad DHS⟧ (2015) and author’s calculations | true | null | |
jdc_operational:000051 | 76 | 2 | data on the distribution of household heads | 422 | 465 | descriptive | descriptive | other | The ⟦data on the distribution of household heads⟧ were updated | true | null | |
jdc_operational:000051 | 76 | 2 | survey on ability and willingness of households | 484 | 531 | descriptive | descriptive | survey | updated by a ⟦survey on ability and willingness of households⟧ to pay for electricity services | true | null | |
jdc_operational:000051 | 77 | 0 | Chad DHS | 252 | 260 | named | named | survey | _Source:_ ⟦Chad DHS⟧ (2015) and author’s calculations | true | null | |
jdc_operational:000051 | 77 | 1 | Household Consumption and Informal Sector Surveys | 155 | 204 | named | named | survey | In both Chad’s ⟦Household Consumption and Informal Sector Surveys⟧ from 2003 and 2011 | true | null | |
jdc_operational:000051 | 77 | 1 | United Nations fertility data | 1,721 | 1,750 | named | named | indicator | ⟦United Nations fertility data⟧ (2017) | true | null | |
jdc_operational:000051 | 77 | 2 | United Nations fertility data | 103 | 132 | named | named | indicator | ⟦United Nations fertility data⟧ (2017) | true | null | |
jdc_operational:000051 | 78 | 1 | World Bank Findex Survey | 433 | 457 | named | named | survey | _Source:_ ⟦World Bank Findex Survey⟧ (2017) | true | null | |
jdc_operational:000051 | 78 | 1 | World Bank Enterprise Survey | 519 | 547 | named | named | survey | The ⟦World Bank Enterprise Survey⟧ collects data from firms in the manufacturing and service industries around the world | true | null | |
jdc_operational:000051 | 78 | 2 | Enterprise Survey | 595 | 612 | named | named | survey | _Source:_ World Bank (2018) ⟦Enterprise Survey⟧ | true | null | |
jdc_operational:000051 | 78 | 2 | data from manufacturing firms | 695 | 724 | descriptive | descriptive | survey | _Note:_ a. Using ⟦data from manufacturing firms⟧ only | true | null | |
jdc_operational:000051 | 78 | 2 | Findex database | 756 | 771 | named | named | database | > 50 World Bank. 2017. ⟦Findex database⟧ | true | null | |
jdc_operational:000051 | 79 | 0 | FATHOM fluvial flooding data | 628 | 656 | named | named | geospatial | (B) ⟦FATHOM fluvial flooding data⟧ (2021) [48] | true | null | |
jdc_operational:000051 | 79 | 0 | NASA NEX-GDDP CMIP5 data | 712 | 736 | named | named | estimates | (C) Internal calculations using data from ⟦NASA NEX-GDDP CMIP5 data⟧ [50] | true | null | |
jdc_operational:000051 | 79 | 0 | ThinkHazard Database | 1,425 | 1,445 | named | named | database | World Bank. 2021. ⟦ThinkHazard Database⟧, Chad | true | null | |
jdc_operational:000051 | 79 | 1 | Global Fire Emissions Database | 412 | 442 | named | named | database | Fourth-Generation ⟦Global Fire Emissions Database⟧ (GFED4) | true | null | |
jdc_operational:000051 | 80 | 1 | FATHOM Flooding Data | 1,686 | 1,706 | named | named | geospatial | 54 ⟦FATHOM Flooding Data⟧[26] [Fluvial] | true | null | |
jdc_operational:000051 | 80 | 2 | FATHOM Flooding Data | 51 | 71 | named | named | geospatial | 54 ⟦FATHOM Flooding Data⟧[27] [Fluvial] | true | null | |
jdc_operational:000051 | 80 | 2 | data from NASA Center for Climate Simulation | 743 | 787 | named | descriptive | estimates | Calculations completed by the authors, based on ⟦data from NASA Center for Climate Simulation⟧ | true | null | |
jdc_operational:000051 | 80 | 2 | NASA NEX-GDDP | 789 | 802 | named | named | estimates | ⟦NASA NEX-GDDP⟧ (2019) | true | null | |
jdc_operational:000051 | 83 | 0 | survey of households | 368 | 388 | descriptive | descriptive | survey | the results of the most recent ⟦survey of households⟧ indicate that 84 percent of the non-electrified households in Chad rely on dry-cell battery-powered flashlights | true | null | |
jdc_operational:000051 | 83 | 1 | expenditure survey data | 547 | 570 | descriptive | descriptive | survey | according to the results of the most recent ⟦expenditure survey data⟧ | true | null | |
jdc_operational:000051 | 83 | 2 | household expenditure survey | 664 | 692 | descriptive | descriptive | survey | Results of the ⟦household expenditure survey⟧ are provided in annex 6. | true | null | |
jdc_operational:000051 | 86 | 0 | household expenditure survey data | 983 | 1,016 | descriptive | descriptive | survey | according to the latest ⟦household expenditure survey data⟧ as presented in annex 6 | true | null | |
jdc_operational:000051 | 89 | 0 | survey on ability and willingness of Chad rural households | 299 | 357 | descriptive | descriptive | survey | a ⟦survey on ability and willingness of Chad rural households⟧ to pay for electricity services was conducted | true | null | |
jdc_operational:000051 | 89 | 0 | survey by province | 1,293 | 1,311 | descriptive | descriptive | survey | Select results of the ⟦survey by province⟧ and the average for the three provinces are summarized in Table 6.2. | true | null | |
jdc_operational:000051 | 90 | 0 | Chad Energy Access Scale Up Project | 19 | 54 | named | named | other | The World Bank ⟦Chad Energy Access Scale Up Project⟧ (P174495) | false | null | |
jdc_operational:000051 | 91 | 0 | Chad Energy Access Scale Up Project | 19 | 54 | named | named | other | The World Bank ⟦Chad Energy Access Scale Up Project⟧ (P174495) | false | null | |
jdc_operational:000052 | 101 | 0 | School Meals Unit reports | 1,534 | 1,559 | named | named | report | |**Data source/ Agency**|MoE, ⟦School Meals Unit reports⟧| | true | null | |
jdc_operational:000052 | 102 | 0 | School Meals Unit reports | 1,128 | 1,153 | named | named | report | |**Data source/ Agency**|MoE, ⟦School Meals Unit reports⟧| | true | null | |
jdc_operational:000052 | 102 | 1 | School Meals Unit reports | 728 | 753 | named | named | report | |**Data source/ Agency**|MoE, ⟦School Meals Unit reports⟧| | true | null | |
jdc_operational:000052 | 103 | 0 | data from schools | 371 | 388 | descriptive | descriptive | other | TSC county offices will collect ⟦data from schools⟧ for submission to the TSC for compilation of annual reports on teacher | true | null |
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