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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
jdc_operational:000052 | 103 | 0 | data from schools | 1,343 | 1,360 | 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 | |
jdc_operational:000052 | 103 | 1 | data from schools | 680 | 697 | 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 | |
jdc_operational:000052 | 107 | 0 | data from MoE | 535 | 548 | descriptive | descriptive | administrative | IVA will obtain ⟦data from MoE⟧ on the target classrooms constructed and completed. | true | null | |
jdc_operational:000052 | 107 | 0 | data from MoE | 1,309 | 1,322 | descriptive | descriptive | administrative | IVA will obtain ⟦data from MoE⟧ on the target classrooms constructed and completed. | true | null | |
jdc_operational:000052 | 107 | 1 | data from MoE | 763 | 776 | descriptive | descriptive | administrative | IVA will obtain ⟦data from MoE⟧ on the target classrooms constructed and completed. | true | null | |
jdc_operational:000052 | 115 | 0 | NEMIS | 1,217 | 1,222 | named | named | system | Use of IT (see below on ⟦NEMIS⟧) for audit | true | null | |
jdc_operational:000052 | 118 | 0 | refugee data | 1,006 | 1,018 | vague | vague | other | able to capture ⟦refugee data⟧ | true | null | |
jdc_operational:000052 | 119 | 0 | education data | 483 | 497 | vague | vague | other | published for core ⟦education data⟧, including refugee children and learner with special needs. | true | null | |
jdc_operational:000052 | 11 | 0 | World Development Indicators | 439 | 467 | named | named | database | per capita gross domestic product (GDP) of US$1,879 (⟦World Development Indicators⟧ (WDI), 2020) | true | null | |
jdc_operational:000052 | 11 | 0 | Human Capital Index | 817 | 836 | named | named | indicator | The country’s ranking in the World Bank’s ⟦Human Capital Index⟧ (HCI, 2020) places Kenya third in Sub-Saharan Africa | true | null | |
jdc_operational:000052 | 11 | 1 | KNBS data | 1,250 | 1,259 | named | named | other | Source: World Bank calculations based on ⟦KNBS data⟧ | true | null | |
jdc_operational:000052 | 12 | 0 | Global Competitiveness Index | 409 | 437 | named | named | indicator | _Source:_ World Economic Forum, ⟦Global Competitiveness Index⟧ 2017-2018 | true | null | |
jdc_operational:000052 | 12 | 0 | KIHBS | 1,654 | 1,659 | named | named | survey | _Source:_ World Bank Calculations based on ⟦KIHBS⟧ 2015/16 | true | null | |
jdc_operational:000052 | 12 | 0 | NASMLA 2019 | 1,672 | 1,683 | named | named | survey | ⟦NASMLA 2019⟧ for Grade 7 | true | null | |
jdc_operational:000052 | 12 | 1 | NASMLA 2019 | 8 | 19 | named | named | survey | /16 and ⟦NASMLA 2019⟧ for Grade 7 | true | null | |
jdc_operational:000052 | 13 | 2 | Households Rapid Response Phone Survey | 648 | 686 | named | named | survey | World Bank (2021) _Socioeconomic Impacts of COVID-19 in Kenya on ⟦Households Rapid Response Phone Survey⟧, Rounds 1-3 | true | null | |
jdc_operational:000052 | 14 | 1 | Kenya Education Data-October | 1,816 | 1,844 | named | named | report | UNHCR, (2021), ⟦Kenya Education Data-October⟧ 2021. | true | null | |
jdc_operational:000052 | 14 | 2 | Kenya Education Data-October | 82 | 110 | named | named | report | UNHCR, (2021), ⟦Kenya Education Data-October⟧ 2021. | true | null | |
jdc_operational:000052 | 15 | 1 | 2019 Kakuma Socioeconomic Survey | 939 | 971 | named | named | survey | UNHCR and World Bank, 2021, Understanding the Socio-economic Conditions of Refugees in Kenya: Volume B: Results from the ⟦2019 Kakuma Socioeconomic Survey⟧. | true | null | |
jdc_operational:000052 | 16 | 0 | Human CapitaI Index | 109 | 128 | named | named | indicator | Figure 4: Comparison Table: ⟦Human CapitaI Index⟧[1], 2020 | true | null | |
jdc_operational:000052 | 16 | 0 | HCI | 178 | 181 | named | named | indicator | Source: World Bank Analysis based on ⟦HCI⟧[2], 2020 | true | null | |
jdc_operational:000052 | 16 | 0 | National Assessment System for Monitoring Learner Achievement | 557 | 618 | named | named | survey | the 2018 and 2019 ⟦National Assessment System for Monitoring Learner Achievement⟧[3] (NASMLA) shows that only 58 percent and 59 percent of learners in grade 3 meet the minimum proficiency | true | null | |
jdc_operational:000052 | 18 | 1 | MoE data | 1,172 | 1,180 | named | descriptive | administrative | According to ⟦MoE data⟧[4], over 94 percent of students in basic education re-enrolled in school in January 2021 | true | null | |
jdc_operational:000052 | 18 | 2 | Rapid Response Phone Survey | 188 | 215 | named | named | survey | World Bank, (2021), Socioeconomic Impacts of COVID-19 in Kenya on Households ⟦Rapid Response Phone Survey⟧[5] Rounds 1,2 and 3 | true | null | |
jdc_operational:000052 | 19 | 2 | 2020-21 Urban Socioeconomic Survey | 810 | 844 | named | named | survey | Results from the ⟦2020-21 Urban Socioeconomic Survey⟧[6] | true | null | |
jdc_operational:000052 | 21 | 2 | Kenya Refugee Protection Assessment Update | 1,246 | 1,288 | named | named | report | Based on the ⟦Kenya Refugee Protection Assessment Update⟧[7] 2 – 14 February 2022 | true | null | |
jdc_operational:000052 | 26 | 0 | 2018 NASMLA | 649 | 660 | named | named | survey | based on the ⟦2018 NASMLA⟧[8] | true | null | |
jdc_operational:000052 | 26 | 0 | NASMLA 2018 Data | 1,001 | 1,017 | named | named | database | by county (⟦NASMLA 2018 Data⟧[9]) | true | null | |
jdc_operational:000052 | 28 | 0 | data from lesson observations and student assessment | 1,407 | 1,459 | descriptive | descriptive | microdata | The cluster meetings will utilize ⟦data from lesson observations and student assessment⟧[10]. | true | null | |
jdc_operational:000052 | 28 | 0 | data from the lesson observations | 1,472 | 1,505 | descriptive | descriptive | microdata | Currently, ⟦data from the lesson observations⟧[11] is underutilized. | true | null | |
jdc_operational:000052 | 28 | 1 | attendance data on NEMIS | 1,297 | 1,321 | named | descriptive | system | submit ⟦attendance data on NEMIS⟧[12] | true | null | |
jdc_operational:000052 | 31 | 0 | NEMIS data | 1,432 | 1,442 | named | named | system | better utilization of ⟦NEMIS data⟧[13] for filling information gaps | true | null | |
jdc_operational:000052 | 32 | 1 | Beneficiarysurvey | 615 | 632 | named | descriptive | survey | 1.4|⟦Beneficiarysurvey⟧[14] | true | null | |
jdc_operational:000052 | 32 | 1 | survey on child development and pre-primary | 1,205 | 1,248 | descriptive | descriptive | survey | national ⟦survey on child development and pre-primary⟧[15] school quality assurance standards and tools | true | null | |
jdc_operational:000052 | 32 | 2 | survey on child development and pre-primary | 110 | 153 | descriptive | descriptive | survey | national ⟦survey on child development and pre-primary⟧[16] school quality assurance standards and tools | true | null | |
jdc_operational:000052 | 34 | 1 | NEMIS data | 1,291 | 1,301 | named | named | system | Low utilization of ⟦NEMIS data⟧[17] for planning and decision making in primary education. | true | null | |
jdc_operational:000052 | 34 | 2 | NEMIS data | 380 | 390 | named | named | system | utilization of ⟦NEMIS data⟧[18] for mapping out school needs | true | null | |
jdc_operational:000052 | 35 | 0 | NASMLA Grade 3 assessment | 927 | 952 | named | named | survey | in the ⟦NASMLA Grade 3 assessment⟧[19], in Counties falling into the lowest quintile of performers | true | null | |
jdc_operational:000052 | 38 | 3 | teacher shortage data | 299 | 320 | vague | vague | other | implications on the current ⟦teacher shortage data⟧[20] | true | null | |
jdc_operational:000052 | 40 | 0 | pre-identified and disclosed data from the National Program Coordinating Unit | 413 | 490 | descriptive | descriptive | administrative | The DLIs will be verified through ⟦pre-identified and disclosed data from the National Program Coordinating Unit⟧[21] (PCU). | true | null | |
jdc_operational:000052 | 41 | 1 | school specific learning assessments reports | 784 | 828 | descriptive | descriptive | report | KNEC hosts the platform for data on learning assessments, including the ⟦school specific learning assessments reports⟧[22]. | true | null | |
jdc_operational:000052 | 42 | 1 | education data | 1,485 | 1,499 | vague | vague | other | updating the targets for access and learning outcomes based on the current ⟦education data⟧[23] | true | null | |
jdc_operational:000052 | 42 | 1 | learning assessment data | 1,543 | 1,567 | descriptive | descriptive | survey | evidence including findings of various ⟦learning assessment data⟧[24] conducted in 2018-2021 | true | null | |
jdc_operational:000052 | 44 | 2 | 2020-21 Urban Socioeconomic Survey | 367 | 401 | named | named | survey | Results from the ⟦2020-21 Urban Socioeconomic Survey⟧[25] | true | null | |
jdc_operational:000052 | 45 | 0 | data on learners with disability | 1,326 | 1,358 | descriptive | descriptive | administrative | Gaps in the collection and management of ⟦data on learners with disability⟧[26] | true | null | |
jdc_operational:000052 | 47 | 1 | baseline survey | 834 | 849 | descriptive | descriptive | survey | Under SEQIP, a ⟦baseline survey⟧[27] was carried out with a sample from 110 subcounties | true | null | |
jdc_operational:000052 | 47 | 1 | data from the survey | 976 | 996 | descriptive | descriptive | survey | The ⟦data from the survey⟧[28] informed development of specific plans | true | null | |
jdc_operational:000052 | 48 | 0 | annual beneficiary surveys | 1,147 | 1,173 | descriptive | descriptive | survey | the Program will conduct online and phone-based ⟦annual beneficiary surveys⟧[29] for direct beneficiaries | true | null | |
jdc_operational:000052 | 48 | 1 | surveys | 112 | 119 | descriptive | vague | survey | Midterm review assessments will leverage lessons generated by the ⟦surveys⟧[30]. | true | null | |
jdc_operational:000052 | 49 | 0 | 2019 ND-GAIN Index | 1,209 | 1,227 | named | named | indicator | ranked 152 out of 181 countries in the ⟦2019 ND-GAIN Index⟧[1] | true | null | |
jdc_operational:000052 | 49 | 1 | sex-disaggregated data | 1,276 | 1,298 | descriptive | vague | other | a lack of ⟦sex-disaggregated data⟧[2] for policy change | true | null | |
jdc_operational:000052 | 58 | 1 | NEMIS data | 190 | 200 | named | named | system | Evidence of utilization of ⟦NEMIS data⟧[3] for better management of primary education | true | null | |
jdc_operational:000052 | 65 | 1 | KNBS surveys | 713 | 725 | named | named | survey | MoE-Annual educational Statistical booklets and ⟦KNBS surveys⟧[4] | true | null | |
jdc_operational:000052 | 73 | 0 | data from schools | 1,303 | 1,320 | descriptive | descriptive | other | collect ⟦data from schools⟧[5] for submission to the TSC for compilation of annual reports | true | null | |
jdc_operational:000052 | 73 | 1 | data from schools | 86 | 103 | descriptive | descriptive | other | collect ⟦data from schools⟧[6] for submission to the TSC for compilation of annual reports | true | null | |
jdc_operational:000052 | 74 | 0 | data from schools | 628 | 645 | descriptive | descriptive | other | collect ⟦data from schools⟧[7] for submission to the TSC for compilation of annual reports | true | null | |
jdc_operational:000052 | 74 | 0 | data from schools | 1,214 | 1,231 | descriptive | descriptive | other | collect ⟦data from schools⟧[8] for submission to the TSC for compilation of annual reports | true | null | |
jdc_operational:000052 | 77 | 0 | national survey | 609 | 624 | descriptive | descriptive | survey | conducting a sample-based ⟦national survey⟧[9] to measure Pre-school quality | true | null | |
jdc_operational:000052 | 79 | 0 | NEMIS data | 166 | 176 | named | named | system | Evidence of utilization of ⟦NEMIS data⟧[10] through: (a) registration of refugee children in NEMIS | true | null | |
jdc_operational:000052 | 79 | 0 | categorization data | 656 | 675 | descriptive | descriptive | other | utilization by MoE of the ⟦categorization data⟧[11] in the allocation of MoE’s annual development grants | true | null | |
jdc_operational:000052 | 79 | 1 | NEMIS GRM | 285 | 294 | named | named | other | the ⟦NEMIS GRM⟧[12] | false | null | |
jdc_operational:000052 | 8 | 0 | INSTITUTIONAL DATA TBL | 323 | 345 | named | named | other | **⟦INSTITUTIONAL DATA TBL⟧[13]** | false | null | |
jdc_operational:000053 | 4 | 2 | 2015 Census | 517 | 528 | named | named | census | > 4 Jordan Department of Statistics, ⟦2015 Census⟧[14]. | false | null | |
jdc_operational:000053 | 9 | 1 | Trucking Operator Survey | 1,248 | 1,272 | named | named | survey | informed by the ⟦Trucking Operator Survey⟧[15] recently completed as part of the JIT | true | null | |
jdc_operational:000053 | 9 | 1 | Survey of Truck Operators | 1,938 | 1,963 | named | named | survey | > 7 Interdisciplinary Research Consultants, Jordan Local Development in Lagging Regions, ⟦Survey of Truck Operators⟧[16]. Final Report, February 2018. | false | null | |
jdc_operational:000054 | 2 | 1 | survey administered before COVID-19 | 359 | 394 | descriptive | descriptive | survey | A ⟦survey administered before COVID-19⟧[17] found that 220,000 jobs had been temporarily or permanently lost | true | null | |
jdc_operational:000054 | 2 | 2 | World Meter Coronavirus | 574 | 597 | named | named | other | > 4 ⟦World Meter Coronavirus⟧[18] https://www.worldometers.info/coronavirus/country/lebanon/ | false | null | |
jdc_operational:000054 | 2 | 2 | Lebanon Economic Monitor | 681 | 705 | named | named | report | > 5 ⟦Lebanon Economic Monitor⟧[19], Fall 2020. | false | null | |
jdc_operational:000054 | 3 | 0 | CPI | 844 | 847 | named | named | indicator | The ⟦CPI⟧[20] witnessed an annual inflation of 133% | true | null | |
jdc_operational:000054 | 3 | 0 | Food Price Index | 934 | 950 | named | named | indicator | while ⟦Food Price Index⟧[21] (FPI) registered an inflation of 423% | true | null | |
jdc_operational:000054 | 3 | 1 | migrants surveyed in May 2020 | 821 | 850 | descriptive | descriptive | survey | 83% of ⟦migrants surveyed in May 2020⟧[22] reported that they struggled to make payments for food | true | null | |
jdc_operational:000054 | 3 | 2 | survey conducted by the World Bank | 487 | 521 | descriptive | descriptive | survey | In a ⟦survey conducted by the World Bank⟧[23] among victims of the blast | true | null | |
jdc_operational:000054 | 3 | 2 | Lebanon Economic Monitor | 1,356 | 1,380 | named | named | report | > 12 ⟦Lebanon Economic Monitor⟧[24], Fall 2020 | false | null | |
jdc_operational:000054 | 3 | 3 | Lebanon Economic Monitor | 4 | 28 | named | named | report | > 12 ⟦Lebanon Economic Monitor⟧[25], Fall 2020 | false | null | |
jdc_operational:000054 | 5 | 0 | rapid assessment of male refugees from Syria | 616 | 660 | descriptive | descriptive | survey | In a 2013 ⟦rapid assessment of male refugees from Syria⟧[26] (aged 12-24), 10.8 percent had experienced an incident | true | null | |
jdc_operational:000054 | 5 | 0 | Data in Beirut/Mount Lebanon | 833 | 861 | descriptive | vague | other | ⟦Data in Beirut/Mount Lebanon⟧[27] indicates that in 2020, 21% of child sexual abuse survivors are boys | true | null | |
jdc_operational:000054 | 5 | 2 | Gender-Based Violence Information Management System | 773 | 824 | named | named | administrative | > 19 ⟦Gender-Based Violence Information Management System⟧[28] (Feb 2021), Annual Overview of Incidents of GBV | true | null | |
jdc_operational:000054 | 6 | 1 | Gallup data | 1,086 | 1,097 | named | named | other | In 2019, ⟦Gallup data⟧[29] showed that Lebanese adults have experienced the most emotional blow | true | null | |
jdc_operational:000054 | 6 | 1 | national representative survey in Lebanon | 1,487 | 1,528 | descriptive | descriptive | survey | A ⟦national representative survey in Lebanon⟧[30] conducted prior to the Syrian conflict showed that one in six people met criteria | true | null | |
jdc_operational:000054 | 6 | 2 | national representative survey in Lebanon | 8 | 49 | descriptive | descriptive | survey | A ⟦national representative survey in Lebanon⟧[1] conducted prior to the Syrian conflict showed that one in six people met criteria | true | null | |
jdc_operational:000054 | 6 | 3 | national epidemiological survey | 209 | 240 | descriptive | descriptive | survey | a ⟦national epidemiological survey⟧[2]. The Lancet, 367, 1000 --– 1006. | true | null | |
jdc_operational:000054 | 7 | 0 | surveys undertaken since the blast | 831 | 865 | descriptive | descriptive | survey | The results of several ⟦surveys undertaken since the blast⟧[3] have shown that a significant number of respondents have experienced and continue to experience mental health issues. | true | null | |
jdc_operational:000054 | 8 | 0 | Rapid Needs Assessment | 648 | 670 | named | named | survey | a ⟦Rapid Needs Assessment⟧[4] conducted by HelpAge International in Beirut identified that 68% of people aged 50 and above had at least one disability or impairment. | true | null | |
jdc_operational:000054 | 8 | 0 | survey of a sample of residents | 1,506 | 1,537 | descriptive | descriptive | survey | In a ⟦survey of a sample of residents⟧[5] of the POB area from all age groups, 34% reported that their family had difficulties accessing health services | true | null | |
jdc_operational:000054 | 9 | 1 | FY21 FCS list | 414 | 427 | named | named | other | a country classified by the World Bank’s ⟦FY21 FCS list⟧[6] as a situation of high institutional and social fragility. | false | null | |
jdc_operational:000055 | 15 | 0 | Uppsala Conflict Database Program | 1,166 | 1,199 | named | named | database | According to the ⟦Uppsala Conflict Database Program⟧[7], violence and conflict have claimed 4,289 lives between independence (2011) and 2016 | true | null | |
jdc_operational:000055 | 15 | 2 | Uppsala Conflict Database Program | 265 | 298 | named | named | other | > 1 ⟦Uppsala Conflict Database Program⟧[8], www.ucdp.uu.se, accessed May 14, 2018. | false | null | |
jdc_operational:000055 | 16 | 0 | statistics on aid workers in South Sudan | 292 | 332 | descriptive | descriptive | other | The ⟦statistics on aid workers in South Sudan⟧[9] are extremely bleak: in the past few years, dozens of aid workers have been kidnapped | true | null | |
jdc_operational:000055 | 17 | 0 | Human Capital Index | 1,022 | 1,041 | named | named | other | The first pillar of the HCP is the ⟦Human Capital Index⟧[10] (HCI). The index measures the human capital of the next generation | false | null | |
jdc_operational:000055 | 23 | 1 | data received from the CSDO | 591 | 618 | descriptive | descriptive | administrative | Based on the ⟦data received from the CSDO⟧[11], since the project started implementation, 43 out of 248 facilities have been looted or physically damaged | true | null | |
jdc_operational:000055 | 24 | 1 | data reported from the MoH | 735 | 761 | descriptive | descriptive | administrative | The project’s Results Framework, pulling from ⟦data reported from the MoH⟧[12] through the CSDO’s quarterly reports, shows that as of June 2018 | true | null | |
jdc_operational:000055 | 31 | 1 | data from health facilities | 470 | 497 | descriptive | descriptive | administrative | partners will collect ⟦data from health facilities⟧[13]; and participate in field investigations | true | null | |
jdc_operational:000055 | 32 | 0 | service delivery data | 1,971 | 1,992 | vague | descriptive | other | CHWs will be trained on disease surveillance and the reporting of ⟦service delivery data⟧[14] and | true | null | |
jdc_operational:000055 | 32 | 1 | service delivery data | 255 | 276 | descriptive | descriptive | other | the reporting of ⟦service delivery data⟧[15] and ⟦vital statistics⟧[16]. | true | null | |
jdc_operational:000055 | 32 | 1 | vital statistics | 281 | 297 | descriptive | descriptive | other | the reporting of ⟦service delivery data⟧[15] and ⟦vital statistics⟧[16]. | true | null | |
jdc_operational:000055 | 35 | 0 | Lot Quality Assurance Surveys | 783 | 812 | named | named | survey | HRRP’s external monitoring which included ⟦Lot Quality Assurance Surveys⟧[17] (LQAS), Quarterly Verification Visits | true | null | |
jdc_operational:000055 | 35 | 0 | master health service functionality database | 1,850 | 1,894 | descriptive | named | database | Development of a ⟦master health service functionality database⟧[18], capturing development and humanitarian health services across donors | true | null | |
jdc_operational:000055 | 35 | 1 | master health service functionality database | 72 | 116 | descriptive | named | database | Development of a ⟦master health service functionality database⟧[19], capturing development and humanitarian health services across donors | true | null | |
jdc_operational:000055 | 35 | 1 | health service functionality data | 653 | 686 | descriptive | descriptive | other | Quarterly technical review of ⟦health service functionality data⟧[20] with development and humanitarian stakeholders | true | null | |
jdc_operational:000055 | 35 | 1 | LQAS | 750 | 754 | named | named | survey | and (f) ⟦LQAS⟧[21] to measure coverage of key health service delivery indicators. | true | null |
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