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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
refugee_pads:000184 | 11 | 3 | NASA EOSDIS Land Processes DAAC | 1,338 | 1,369 | named | named | geospatial | NASA EOSDIS Land Processes DAAC | true | null | |
refugee_pads:000184 | 11 | 4 | WorldPop | 563 | 571 | named | named | geospatial | These figures correspond to populations located within a 150-km radius from the RN1 Maradi–Zinder section (WorldPop, 2020). | true | null | |
refugee_pads:000184 | 13 | 3 | World Weather Attribution | 289 | 314 | named | named | other | According to World Weather Attribution, the 2024 rainy season mirrors the 2022 flooding, whose attribution study concluded | false | null | |
refugee_pads:000184 | 14 | 1 | FloodList | 1,222 | 1,231 | named | named | other | destroyed approximately 21,145 tons of food, contributing to food insecurity in affected regions (source: UNICEF; ReliefWeb; FloodList). | true | null | |
refugee_pads:000184 | 16 | 1 | UNHCR report | 901 | 913 | named | named | report | an UNHCR report indicates that all three villages of opportunity in the Maradi region lack reliable all-weather road access | true | null | |
refugee_pads:000184 | 17 | 2 | Food and Agriculture Organization Corporate Statistical Database | 1,497 | 1,561 | named | named | database | The Food and Agriculture Organization Corporate Statistical Database reports that commercial banks’ loan portfolio share | true | null | |
refugee_pads:000184 | 19 | 2 | population data | 1,504 | 1,519 | vague | descriptive | other | The ⟦population data⟧[1] for Maradi and Zinder Regions in Niger indicate that the ratio of women to men is 50.5 percent to 49.5 percent. | true | null | |
refugee_pads:000184 | 19 | 3 | population data | 40 | 55 | descriptive | descriptive | other | The ⟦population data⟧[2] for Maradi and Zinder Regions in Niger indicate that the ratio of women to men is 50.5 percent to 49.5 percent. | true | null | |
refugee_pads:000184 | 22 | 0 | road database | 1,354 | 1,367 | descriptive | descriptive | database | providing technical guidance for the modernization of the ⟦road database⟧[3] | true | null | |
refugee_pads:000184 | 25 | 0 | perception/beneficiary surveys | 1,462 | 1,492 | descriptive | descriptive | survey | facilitated the administration of ⟦perception/beneficiary surveys⟧[4] | true | null | |
refugee_pads:000184 | 25 | 1 | beneficiary surveys | 386 | 405 | descriptive | descriptive | survey | prioritization of rural and feeder roads will be informed through ⟦beneficiary surveys⟧[5] and consultation | true | null | |
refugee_pads:000184 | 28 | 0 | collected data | 1,276 | 1,290 | vague | vague | other | The ⟦collected data⟧[6] has been instrumental in identifying regional development barriers | true | null | |
refugee_pads:000184 | 28 | 2 | degradation records | 1,440 | 1,459 | descriptive | descriptive | other | based on the ⟦degradation records⟧[7] (L2R) | true | null | |
refugee_pads:000184 | 30 | 1 | midterm satisfaction surveys | 1,710 | 1,738 | descriptive | descriptive | survey | The information gathered from ⟦midterm satisfaction surveys⟧[8] will be used to inform and recalibrate project implementation. | true | null | |
refugee_pads:000184 | 32 | 1 | data on the accident rate per vehicle-kilometer | 1,615 | 1,662 | descriptive | descriptive | other | To calculate these benefits, ⟦data on the accident rate per vehicle-kilometer⟧[9] on similar roads in Niger were applied | true | null | |
refugee_pads:000184 | 33 | 1 | Field surveys at sales markets | 527 | 557 | descriptive | descriptive | survey | ⟦Field surveys at sales markets⟧[10] for key value chains showed that improved accessibility to production sites would lead to the use of faster and larger means of transport. | true | null | |
refugee_pads:000184 | 45 | 0 | Monitoringconsultant'sprogress reports approved bythe IA | 727 | 783 | descriptive | descriptive | report | Data source|⟦Monitoringconsultant'sprogress reports approved bythe IA⟧[11] | true | null | |
refugee_pads:000184 | 47 | 0 | survey on rural accessibility | 233 | 262 | descriptive | descriptive | survey | Data source|A ⟦survey on rural accessibility⟧[12] will be used to collect ⟦mobility data⟧[13] | true | null | |
refugee_pads:000184 | 47 | 0 | mobility data | 287 | 300 | vague | vague | other | A ⟦survey on rural accessibility⟧[12] will be used to collect ⟦mobility data⟧[13] | true | null | |
refugee_pads:000184 | 47 | 0 | mobility data | 562 | 575 | vague | vague | other | Prepare a GEMS form to collect ⟦mobility data⟧[14] from a sample of women beneficiaries of maternity services. | true | null | |
refugee_pads:000184 | 47 | 2 | Implementingagency progress reports | 577 | 612 | descriptive | descriptive | report | Data source|⟦Implementingagency progress reports⟧[15] | true | null | |
refugee_pads:000184 | 48 | 0 | Implementingagency progress reports | 482 | 517 | descriptive | descriptive | report | Data source|⟦Implementingagency progress reports⟧[16] | true | null | |
refugee_pads:000184 | 48 | 1 | Monitoringconsultant'sprogress reports approved bythe IA | 347 | 403 | descriptive | descriptive | report | Data source|⟦Monitoringconsultant'sprogress reports approved bythe IA⟧[17] | true | null | |
refugee_pads:000184 | 49 | 1 | Monitoringconsultant'sprogress reports approved bythe IA | 458 | 514 | descriptive | descriptive | report | Data source|⟦Monitoringconsultant'sprogress reports approved bythe IA⟧[18] | true | null | |
refugee_pads:000184 | 50 | 0 | Monitoringconsultant'sprogress reports approved bythe IA | 534 | 590 | descriptive | descriptive | report | Data source|⟦Monitoringconsultant'sprogress reports approved bythe IA⟧[19] | true | null | |
refugee_pads:000184 | 51 | 0 | Notre Dame Global Adaptation Initiative Country Index | 733 | 786 | named | named | indicator | Niger ranks among the most vulnerable countries in the world, placing 185th out of 187 countries on the ⟦Notre Dame Global Adaptation Initiative Country Index⟧[20]. | true | null | |
refugee_pads:000184 | 6 | 0 | PROJECT FINANCING DATA | 922 | 944 | named | vague | other | **⟦PROJECT FINANCING DATA⟧[21]** | false | null | |
refugee_pads:000185 | 10 | 0 | Human Capital Index | 1,765 | 1,784 | named | named | indicator | the ⟦Human Capital Index⟧[22] (HCI) value increased from 0.56 to 0.58 | true | null | |
refugee_pads:000185 | 10 | 1 | Human Capital Index | 93 | 112 | named | named | indicator | the ⟦Human Capital Index⟧[23] (HCI) value increased from 0.56 to 0.58 | true | null | |
refugee_pads:000185 | 10 | 2 | Human Opportunity Index | 827 | 850 | named | named | indicator | the gap in access to opportunities is 34 and 52 percent for urban and rural areas, respectively (⟦Human Opportunity Index⟧[24]). | true | null | |
refugee_pads:000185 | 11 | 0 | Moldova Systematic Country Diagnostic Update | 1,000 | 1,044 | named | named | other | The ⟦Moldova Systematic Country Diagnostic Update⟧[25] (2021) and ⟦Digital Education Readiness Assessment⟧[26] (2021–22) identified that Moldova’s development continues to be hampered by poor governance | false | null | |
refugee_pads:000185 | 11 | 0 | Digital Education Readiness Assessment | 1,056 | 1,094 | named | named | other | The ⟦Moldova Systematic Country Diagnostic Update⟧[25] (2021) and ⟦Digital Education Readiness Assessment⟧[26] (2021–22) identified that Moldova’s development continues to be hampered by poor governance | false | null | |
refugee_pads:000185 | 12 | 1 | open data on school budgets and performance | 709 | 752 | descriptive | descriptive | database | open data on school budgets and performance were made available to the public | true | null | |
refugee_pads:000185 | 12 | 2 | World Bank data | 431 | 446 | named | named | database | the gross enrollment rate is 108 percent in primary education and 110 percent in secondary education (World Bank data) | true | null | |
refugee_pads:000185 | 13 | 2 | 2020 HCI data | 511 | 524 | named | named | indicator | According to 2020 HCI data | true | null | |
refugee_pads:000185 | 14 | 0 | PISA 2018 | 1,324 | 1,333 | named | named | survey | Distribution of PISA 2018 (Science) from Equity Perspective | true | null | |
refugee_pads:000185 | 14 | 0 | OECD PISA 2018 data | 1,461 | 1,480 | named | named | survey | Source: OECD PISA 2018 data | true | null | |
refugee_pads:000185 | 14 | 1 | PISA 2018 data | 1,182 | 1,196 | named | named | survey | PISA 2018 data. About one in three high-achieving disadvantaged students | true | null | |
refugee_pads:000185 | 15 | 0 | School Network Trends | 777 | 798 | named | named | other | Table 1. School Network Trends, 2017/18 to 2022/23 | false | null | |
refugee_pads:000185 | 15 | 1 | EMIS open data portal | 197 | 218 | named | named | system | Source : EMIS open data portal | true | null | |
refugee_pads:000185 | 16 | 2 | data for 2019 | 420 | 433 | vague | vague | other | The data for 2019 prove that the existence of a preschool-age child in the family significantly influences the presence of men and women on the labor market | true | null | |
refugee_pads:000185 | 17 | 0 | Moldova Digital Education Readiness Assessment | 1,101 | 1,147 | named | named | report | The Moldova Digital Education Readiness Assessment (2021–22) identified four strategic policy areas | true | null | |
refugee_pads:000185 | 17 | 1 | population register data | 1,903 | 1,927 | descriptive | descriptive | administrative | A single integrated EMIS capable of linking information on students with population register data and financing data of the Ministry of Finance | true | null | |
refugee_pads:000185 | 17 | 1 | financing data | 1,932 | 1,946 | descriptive | descriptive | administrative | A single integrated EMIS capable of linking information on students with population register data and financing data of the Ministry of Finance | true | null | |
refugee_pads:000185 | 18 | 0 | EMIS data | 291 | 300 | named | named | system | The assessment and EMIS data should help identify constraints to learning | true | null | |
refugee_pads:000185 | 19 | 0 | Moldova Digital Education Readiness Assessment | 230 | 276 | named | named | report | the findings of the Moldova Digital Education Readiness Assessment (2021–22) | true | null | |
refugee_pads:000185 | 19 | 1 | integrated EMIS | 1,324 | 1,339 | named | named | system | Annual education statistics reports produced and publicly disseminated using data generated by the integrated EMIS | true | null | |
refugee_pads:000185 | 19 | 1 | Survey on National Education Responses | 1,493 | 1,531 | named | named | survey | From Learning Recovery to Education Transformation: Insights and Reflections from the Fourth Survey on National Education Responses to COVID-19 School Closures | true | null | |
refugee_pads:000185 | 21 | 0 | quality assessment survey | 1,366 | 1,391 | descriptive | descriptive | survey | The quality assessment survey will also collect information about the quality of ECEC facilities | true | null | |
refugee_pads:000185 | 21 | 1 | student-level EMIS | 1,849 | 1,867 | named | named | system | will be facilitated by student-level EMIS and other sources of data | true | null | |
refugee_pads:000185 | 21 | 2 | student-level EMIS | 93 | 111 | named | named | system | will be facilitated by student-level EMIS and other sources of data | true | null | |
refugee_pads:000185 | 24 | 1 | EMIS | 1,708 | 1,712 | named | named | system | upgrading and expanding the existing EMIS for making better use of data | true | null | |
refugee_pads:000185 | 25 | 0 | MoF data | 1,631 | 1,639 | named | named | administrative | technical improvements to EMIS to enable integrated use of NBS and MoF data | true | null | |
refugee_pads:000185 | 25 | 0 | data on refugee children from Ukraine | 1,753 | 1,790 | descriptive | descriptive | administrative | strengthening a system for the generation of aggregate data and reports based on primary data and integrate data on refugee children from Ukraine | true | null | |
refugee_pads:000185 | 27 | 1 | beneficiary (including refugees’) feedback surveys | 655 | 705 | descriptive | descriptive | survey | through a range of citizen engagement mechanisms including school report cards, consultative forums, participatory planning and decisionmaking, and beneficiary (including refugees’) feedback surveys | true | null | |
refugee_pads:000185 | 2 | 1 | Labor Force Survey | 170 | 188 | named | named | survey | LFS Labor Force Survey | true | null | |
refugee_pads:000185 | 30 | 0 | data systems | 2,083 | 2,095 | vague | descriptive | system | It will also support strengthening data systems that provide evidence for decision-making | true | null | |
refugee_pads:000185 | 35 | 0 | data on education institutions and students | 733 | 776 | descriptive | descriptive | administrative | data on education institutions and students generated by EMIS and e-Catalogue/eRegister | true | null | |
refugee_pads:000185 | 35 | 0 | e-Catalogue/eRegister | 799 | 820 | named | named | administrative | data on education institutions and students generated by EMIS and e-Catalogue/eRegister | true | null | |
refugee_pads:000185 | 35 | 0 | regular survey data and administrative data | 1,059 | 1,102 | descriptive | descriptive | other | regular survey data and administrative data of the MoER and NORLD | true | null | |
refugee_pads:000185 | 38 | 0 | 2021 Public Expenditure and Financial Accountability Assessment | 1,242 | 1,305 | named | named | report | The results of the ⟦2021 Public Expenditure and Financial Accountability Assessment⟧[1] of the public FM systems in Moldova show that | true | null | |
refugee_pads:000185 | 42 | 1 | Annual education statistics | 766 | 793 | named | descriptive | report | ⟦Annual education statistics⟧[2] reports produced and publicly disseminated | true | null | |
refugee_pads:000185 | 43 | 0 | MoF data | 368 | 376 | named | named | other | assessment, NBS and ⟦MoF data⟧[3] (report on trends, regional variations in learning | true | null | |
refugee_pads:000185 | 45 | 1 | disaggregated data | 671 | 689 | vague | vague | other | Monitoring tool with reliable gender-⟦disaggregated data⟧[4] to identify disadvantaged | true | null | |
refugee_pads:000185 | 47 | 1 | integrated EMIS | 517 | 532 | named | named | system | based on data generated by the ⟦integrated EMIS⟧[5] and used for education sector management including refugee response | true | null | |
refugee_pads:000185 | 47 | 1 | integrated EMIS | 607 | 622 | named | named | system | ⟦integrated EMIS⟧[6] (to identify determinants of student and school performance for decision making | true | null | |
refugee_pads:000185 | 49 | 1 | EMIS data | 164 | 173 | named | named | system | ⟦EMIS data⟧[7] | true | null | |
refugee_pads:000185 | 52 | 0 | disaggregated data | 900 | 918 | descriptive | vague | other | Monitoring tool with reliable gender-⟦disaggregated data⟧[8] to identify disadvantaged students to receive | true | null | |
refugee_pads:000185 | 62 | 1 | OECD PISA 2009 and 2018 data | 368 | 396 | named | named | survey | _Source:_ ⟦OECD PISA 2009 and 2018 data⟧[9]. | true | null | |
refugee_pads:000185 | 63 | 1 | 2020 Labor Force Survey | 429 | 452 | named | named | survey | the proportion of individuals at each level of education is based on the educational attainment of individuals ages 25 to 19 in the ⟦2020 Labor Force Survey⟧[10] (LFS). | true | null | |
refugee_pads:000185 | 63 | 1 | data from 2006 | 928 | 942 | vague | vague | other | Mincerian earnings coefficients are from MCC (2014) using ⟦data from 2006⟧[11]. | true | null | |
refugee_pads:000185 | 63 | 1 | LFS 2020 | 1,104 | 1,112 | named | named | survey | Proportions of individuals in each educational category and female are based on the ⟦LFS 2020⟧[12]. | true | null | |
refugee_pads:000185 | 64 | 1 | PISA 2018 | 929 | 938 | named | named | survey | Modeling the benefits of Component 2 relies on the association between the digital learning environment and learning outcomes in ⟦PISA 2018⟧[13]. | true | null | |
refugee_pads:000185 | 64 | 1 | PISA 2018 data | 1,266 | 1,280 | named | named | survey | use an indicator of school digital learning environment in the ⟦PISA 2018 data⟧[14] | true | null | |
refugee_pads:000185 | 67 | 1 | World Bank staff compilation | 678 | 706 | named | named | other | _Source_ : ⟦World Bank staff compilation⟧[15]. | true | null | |
refugee_pads:000185 | 72 | 1 | national (deficit) mapping of educational institutions | 905 | 959 | descriptive | descriptive | geospatial | prepare a ⟦national (deficit) mapping of educational institutions⟧[16] in relation to the national standards | true | null | |
refugee_pads:000185 | 76 | 0 | energy audits | 792 | 805 | descriptive | descriptive | other | based on the results of the ⟦energy audits⟧[17] | false | null | |
refugee_pads:000185 | 77 | 0 | data collection | 344 | 359 | vague | vague | other | including ⟦data collection⟧[18] related to safety, inclusiveness, sustainability | false | null | |
refugee_pads:000186 | 18 | 0 | Notre Dame Global Adaptation Initiative index | 429 | 474 | named | named | indicator | Ranked 163rd out of 187 on the ⟦Notre Dame Global Adaptation Initiative index⟧[19] | true | null | |
refugee_pads:000186 | 18 | 2 | Global Internal Displacement Database - Disasters | 1,332 | 1,381 | named | named | database | Internal Displacement Monitoring Centre. ⟦Global Internal Displacement Database - Disasters⟧[20]. IDMC (2023). | true | null | |
refugee_pads:000186 | 24 | 0 | district asset registers | 189 | 213 | descriptive | descriptive | administrative | routinely updating ⟦district asset registers⟧[21] to include all new investments | true | null | |
refugee_pads:000186 | 25 | 1 | DRDIP II Environmental and Social Assessment | 634 | 678 | named | named | report | The ⟦DRDIP II Environmental and Social Assessment⟧[22] (ESA) carried out in 2024 identified various types of sensitive and degraded ecosystems | true | null | |
refugee_pads:000186 | 28 | 0 | national wealth ranking data | 1,205 | 1,233 | descriptive | descriptive | other | identified through ⟦national wealth ranking data⟧[23] | true | null | |
refugee_pads:000186 | 28 | 2 | Beneficiary phone surveys | 273 | 298 | descriptive | descriptive | survey | ⟦Beneficiary phone surveys⟧[24] will be conducted regularly to gather information from the field. | true | null | |
refugee_pads:000186 | 29 | 1 | data on refugees | 1,051 | 1,067 | descriptive | descriptive | other | Provide ⟦data on refugees⟧[25]. | true | null | |
refugee_pads:000186 | 30 | 0 | beneficiary phone surveys | 214 | 239 | descriptive | descriptive | survey | including regular ⟦beneficiary phone surveys⟧[26] and quarterly technical supervision missions | true | null | |
refugee_pads:000186 | 32 | 0 | World Bank GEMS system | 133 | 155 | named | named | system | ⟦World Bank GEMS system⟧[27]. Project results will be captured through baseline, annual, and endline surveys. | true | null | |
refugee_pads:000186 | 33 | 0 | gender-specific and genderdisaggregated data | 1,022 | 1,066 | descriptive | descriptive | other | measured through ⟦gender-specific and genderdisaggregated data⟧[28] in the Results Framework and in the project M&E plan | true | null | |
refugee_pads:000186 | 36 | 2 | project data | 1,329 | 1,341 | vague | vague | other | including the existing MIS to record ⟦project data⟧[29], processes, accounting, and reporting. | true | null | |
refugee_pads:000186 | 37 | 2 | data on planned procurement activities | 1 | 39 | descriptive | descriptive | other | ⟦data on planned procurement activities⟧[30], establish benchmarks, monitor delays, and measure procurement performance. | true | null | |
refugee_pads:000186 | 39 | 2 | World Bank online screening tool | 673 | 705 | named | named | other | Using the ⟦World Bank online screening tool⟧[1], the GBV/SEA/SH risk was determined as high. | false | null | |
refugee_pads:000186 | 45 | 0 | MIS database with population statistics for districts | 746 | 799 | descriptive | named | database | Monitoring project implementation. ⟦MIS database with population statistics for districts⟧[2]. | true | null | |
refugee_pads:000186 | 45 | 0 | MIS database with population statistics for districts | 1,380 | 1,433 | descriptive | named | database | Monitoring project implementation. ⟦MIS database with population statistics for districts⟧[3]. | true | null | |
refugee_pads:000186 | 45 | 1 | Project MIS | 521 | 532 | named | named | database | Data source|⟦Project MIS⟧[4]. | true | null | |
refugee_pads:000186 | 45 | 1 | MIS database | 606 | 618 | named | named | database | Monitoring project implementation. ⟦MIS database⟧[5]. | true | null | |
refugee_pads:000186 | 45 | 1 | Project MIS and Project Progress Reports | 1,395 | 1,435 | named | named | database | Data source|⟦Project MIS and Project Progress Reports⟧[6]. | true | null | |
refugee_pads:000186 | 46 | 0 | Project MIS and Project Progress Reports | 664 | 704 | named | named | database | Data source|⟦Project MIS and Project Progress Reports⟧[7]. | true | null | |
refugee_pads:000186 | 46 | 1 | Project MIS and Project Progress Reports | 485 | 525 | named | named | database | Data source: ⟦Project MIS and Project Progress Reports⟧[8]. Surveyor/Engineer reports. | true | null | |
refugee_pads:000186 | 47 | 0 | Project MIS and Project Progress Reports | 449 | 489 | named | named | database | Data source|⟦Project MIS and Project Progress Reports⟧[9]. | true | null | |
refugee_pads:000186 | 47 | 0 | Project MIS | 1,445 | 1,456 | named | named | database | Data source|⟦Project MIS⟧[10]. | true | null |
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