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|---|---|---|---|---|---|---|---|---|---|---|---|---|
jdc_operational:000035 | 82 | 0 | world population data | 963 | 984 | descriptive | vague | other | village boundary information for Chad is not available in ⟦world population data⟧[14] | true | null | |
jdc_operational:000036 | 2 | 0 | ILO/FAO assessment of 363 small enterprises | 717 | 760 | named | descriptive | survey | An ⟦ILO/FAO assessment of 363 small enterprises⟧[15] conducted in May 2020 showed that 39 percent of Lebanese workers were permanently laid-off | true | null | |
jdc_operational:000036 | 2 | 0 | Vulnerability Assessment of Syrian Refugees in Lebanon | 1,663 | 1,717 | named | named | survey | Preliminary data from the ⟦Vulnerability Assessment of Syrian Refugees in Lebanon⟧[16] (VaSyr) 2020 indicates that the percentage of Syrian refugee households in extreme poverty | true | null | |
jdc_operational:000036 | 2 | 0 | WFP assessment | 1,957 | 1,971 | named | named | survey | According to a recent ⟦WFP assessment⟧[17], 50 percent of Lebanese and 75 percent Syrians are worried about not having enough food | true | null | |
jdc_operational:000036 | 2 | 1 | WFP assessment | 142 | 156 | named | named | survey | According to a recent ⟦WFP assessment⟧[18], 50 percent of Lebanese and 75 percent Syrians are worried about not having enough food to eat. | true | null | |
jdc_operational:000036 | 2 | 1 | General Agricultural Census | 1,351 | 1,378 | named | named | census | According to the ⟦General Agricultural Census⟧[19] carried out in 2010, the total utilized agricultural area (UAA) was 231,000 ha | true | null | |
jdc_operational:000036 | 3 | 0 | 2016 production survey | 523 | 545 | descriptive | named | survey | The ⟦2016 production survey⟧[20] indicated that the number of cattle heads reached 86 265 | true | null | |
jdc_operational:000036 | 5 | 0 | World Bank Indicators | 1,162 | 1,183 | named | named | database | World Bank, 2021. ⟦World Bank Indicators⟧[21] https://data.worldbank.org/indicator accessed 8/19/2021 | true | null | |
jdc_operational:000036 | 5 | 0 | World Development Indicators | 1,602 | 1,630 | named | named | database | World Bank. 2020. ⟦World Development Indicators⟧[22]. Washington, DC: World Bank Group. | true | null | |
jdc_operational:000036 | 5 | 1 | World Development Indicators | 111 | 139 | named | named | database | World Bank. 2020. ⟦World Development Indicators⟧[23]. Washington, DC: World Bank Group. Accessed January 22, 2020. | true | null | |
jdc_operational:000036 | 7 | 1 | periodic beneficiary satisfaction survey | 1,279 | 1,319 | descriptive | descriptive | survey | monitoring and evaluation, including ⟦periodic beneficiary satisfaction survey⟧[24] (at inception, mid-term and project conclusion) | true | null | |
jdc_operational:000036 | 7 | 1 | ethnicity and gender disaggregated data | 1,378 | 1,417 | descriptive | descriptive | other | including ⟦ethnicity and gender disaggregated data⟧[25] | true | null | |
jdc_operational:000037 | 100 | 0 | 2009 social accounting matrix | 0 | 29 | descriptive | descriptive | other | ⟦2009 social accounting matrix⟧[26]. One of its closures is a wage-employment curve | true | null | |
jdc_operational:000037 | 101 | 0 | movable assets registry | 1,110 | 1,133 | descriptive | named | administrative | including jobs placement, the TSEZ, employment from resulting from additional investment facilitated by the credit infrastructure reforms and ⟦movable assets registry⟧[27]. | false | null | |
jdc_operational:000037 | 104 | 0 | procurement data | 1,046 | 1,062 | descriptive | vague | other | usage of automation to collect ⟦procurement data⟧[28] adequate for performance analysis | true | null | |
jdc_operational:000037 | 105 | 1 | procurement data base and indicators | 1,764 | 1,800 | descriptive | descriptive | database | developing ⟦procurement data base and indicators⟧[29]. | true | null | |
jdc_operational:000037 | 109 | 0 | fiscal data | 1,787 | 1,798 | descriptive | vague | other | an integrated information system that centralizes and integrates ⟦fiscal data⟧[30]. | true | null | |
jdc_operational:000037 | 109 | 1 | fiscal data | 116 | 127 | descriptive | vague | administrative | lack of an integrated information system that centralizes and integrates ⟦fiscal data⟧[1] | true | null | |
jdc_operational:000037 | 111 | 1 | public procurement data base | 335 | 363 | descriptive | descriptive | database | for developing ⟦public procurement data base⟧[2] and performance indicators | true | null | |
jdc_operational:000037 | 115 | 1 | financial data | 682 | 696 | vague | vague | other | The reports will show ⟦financial data⟧[3] linked by budget line and by implementing agency | true | null | |
jdc_operational:000037 | 115 | 1 | data linked to the payment cycle | 803 | 835 | descriptive | vague | administrative | MOF will be able to generate these reports based on the ⟦data linked to the payment cycle⟧[4] | true | null | |
jdc_operational:000037 | 116 | 0 | registry of all public procurement complaints | 1,206 | 1,251 | descriptive | descriptive | administrative | The CI will keep a ⟦registry of all public procurement complaints⟧[5], through the CTB portal | true | null | |
jdc_operational:000037 | 116 | 0 | registry of PPP complaints | 1,299 | 1,325 | descriptive | descriptive | administrative | HCP will keep a ⟦registry of PPP complaints⟧[6] on its website | true | null | |
jdc_operational:000037 | 116 | 1 | list of debarred or suspended contractors | 1,821 | 1,862 | descriptive | descriptive | administrative | verify the names of the contractor against the World Bank’s ⟦list of debarred or suspended contractors⟧[7] | true | null | |
jdc_operational:000037 | 116 | 2 | list of debarred or suspended contractors | 3 | 44 | descriptive | descriptive | administrative | compare the list with the Bank’s ⟦list of debarred or suspended contractors⟧[8] | true | null | |
jdc_operational:000037 | 116 | 2 | Bank’s list of debarred/suspended contractors | 275 | 320 | descriptive | named | administrative | compare the list with the ⟦Bank’s list of debarred/suspended contractors⟧[9] to ensure compliance | true | null | |
jdc_operational:000037 | 118 | 0 | log of complaints | 1,139 | 1,156 | descriptive | descriptive | administrative | A ⟦log of complaints⟧[10] and their resolution will be maintained and published by CI | true | null | |
jdc_operational:000037 | 118 | 0 | log of complaints | 1,481 | 1,498 | descriptive | descriptive | administrative | a ⟦log of complaints⟧[11] will be maintained | true | null | |
jdc_operational:000037 | 11 | 2 | 2011 HBS | 412 | 420 | named | named | survey | Measuring Poverty in Lebanon using ⟦2011 HBS⟧[12]: A Technical Report | true | null | |
jdc_operational:000037 | 122 | 0 | registry of permissible pesticides | 757 | 791 | descriptive | descriptive | administrative | Ministry of Agriculture has a ⟦registry of permissible pesticides⟧[13] | true | null | |
jdc_operational:000037 | 133 | 1 | Staff records | 654 | 667 | descriptive | descriptive | administrative | ⟦Staff records⟧[14] | true | null | |
jdc_operational:000037 | 134 | 0 | SME database | 928 | 940 | named | descriptive | database | ⟦SME database⟧[15] and the digital platform developed | true | null | |
jdc_operational:000037 | 134 | 1 | SME database | 23 | 35 | named | descriptive | database | ⟦SME database⟧[16] and the digital platform developed | true | null | |
jdc_operational:000037 | 135 | 1 | procurement data | 720 | 736 | descriptive | vague | administrative | HCP portal (for PPP) populated with ⟦procurement data⟧[17] | true | null | |
jdc_operational:000037 | 13 | 1 | Global Competitiveness Index | 1,342 | 1,370 | named | named | indicator | the World Economic Forum’s ⟦Global Competitiveness Index⟧[18] ranks Lebanon’s macroeconomic environment | true | null | |
jdc_operational:000037 | 13 | 1 | World Bank Enterprise Surveys | 1,502 | 1,531 | named | named | survey | ⟦World Bank Enterprise Surveys⟧[19] highlight significant constraints | true | null | |
jdc_operational:000037 | 18 | 0 | movable assets registry | 1,400 | 1,423 | descriptive | descriptive | administrative | establishment of a ⟦movable assets registry⟧[20] | true | null | |
jdc_operational:000037 | 23 | 0 | movable assets registry | 1,435 | 1,458 | descriptive | descriptive | administrative | expenditures to establish a ⟦movable assets registry⟧[21] | true | null | |
jdc_operational:000037 | 23 | 1 | Automated System for Customs Data | 688 | 721 | named | named | system | updating of the existing ⟦Automated System for Customs Data⟧[22] (ASYCUDA)-based system | true | null | |
jdc_operational:000037 | 28 | 0 | household and employer levels surveys | 588 | 625 | descriptive | descriptive | survey | eight ⟦household and employer levels surveys⟧[23] will be conducted | true | null | |
jdc_operational:000037 | 28 | 0 | gender-disaggregated data | 726 | 751 | descriptive | vague | other | Such ⟦gender-disaggregated data⟧[24] are missing today | true | null | |
jdc_operational:000037 | 28 | 0 | gender-disaggregated data | 1,049 | 1,074 | descriptive | vague | other | A database will be set up at the OMSWA to compile existing and collect new (see previous bullet point) ⟦gender-disaggregated data⟧[25] | true | null | |
jdc_operational:000037 | 29 | 0 | gender-disaggregated database | 403 | 432 | descriptive | descriptive | database | set up and operationalization of a ⟦gender-disaggregated database⟧[26] for improved evidence-based policymaking | true | null | |
jdc_operational:000037 | 29 | 0 | gender-focused surveys | 516 | 538 | descriptive | descriptive | survey | Implementation of eight ⟦gender-focused surveys⟧[27] at the household and employer levels | true | null | |
jdc_operational:000037 | 29 | 0 | Movable Assets Registry | 689 | 712 | named | named | administrative | Establishment of a ⟦Movable Assets Registry⟧[28] (Results Area 1) | true | null | |
jdc_operational:000037 | 32 | 2 | household and employer surveys | 627 | 657 | descriptive | descriptive | survey | implementation and analysis of 8 ⟦household and employer surveys⟧[29] | true | null | |
jdc_operational:000037 | 32 | 2 | gender database | 811 | 826 | descriptive | descriptive | database | setting up a ⟦gender database⟧[30] to build gender-disaggregated data | true | null | |
jdc_operational:000037 | 35 | 0 | administrative data | 1,725 | 1,744 | descriptive | descriptive | administrative | Monitoring will rely on ⟦administrative data⟧ collected by government entities. | true | null | |
jdc_operational:000037 | 35 | 1 | Administrative data available from the MOF | 1,398 | 1,440 | descriptive | named | administrative | ⟦Administrative data available from the MOF⟧ will allow for a high-quality nonexperimental evaluation | true | null | |
jdc_operational:000037 | 35 | 1 | data on actions and beneficiaries | 2,072 | 2,105 | descriptive | descriptive | other | (i) ⟦data on actions and beneficiaries⟧ that is collected through the Program’s M&E system | true | null | |
jdc_operational:000037 | 35 | 2 | data on actions and beneficiaries | 215 | 248 | descriptive | descriptive | other | (i) ⟦data on actions and beneficiaries⟧ that is collected through the Program’s M&E system | true | null | |
jdc_operational:000037 | 35 | 2 | administrative data | 310 | 329 | descriptive | descriptive | administrative | (ii) ⟦administrative data⟧ made available by the GOL to enable monitoring | true | null | |
jdc_operational:000037 | 40 | 1 | PDO indicators | 1,854 | 1,868 | descriptive | named | other | Following the logic of the results chain and the ⟦PDO indicators⟧ | false | null | |
jdc_operational:000037 | 40 | 2 | 2011 household survey data | 623 | 649 | descriptive | descriptive | survey | It is informed by ⟦2011 household survey data⟧ | true | null | |
jdc_operational:000037 | 40 | 2 | 2009 social accounting matrix | 656 | 685 | descriptive | descriptive | other | It is informed by a ⟦2009 social accounting matrix⟧ | true | null | |
jdc_operational:000037 | 43 | 0 | procurement data | 521 | 537 | descriptive | vague | other | usage of automation to collect ⟦procurement data⟧ adequate for performance analysis | true | null | |
jdc_operational:000037 | 44 | 0 | log of complaints | 259 | 276 | descriptive | descriptive | administrative | A ⟦log of complaints⟧ and their resolution will be maintained and published by CI. | true | null | |
jdc_operational:000037 | 44 | 0 | log of complaints | 604 | 621 | descriptive | descriptive | administrative | and a ⟦log of complaints⟧ will be maintained. | true | null | |
jdc_operational:000037 | 51 | 1 | movable asset registry | 1,874 | 1,896 | descriptive | descriptive | system | support the establishment of a ⟦movable asset registry⟧ | true | null | |
jdc_operational:000037 | 52 | 0 | electronic Movable Assets registry | 869 | 903 | descriptive | named | system | Establishing and operationalizing an effective ⟦electronic Movable Assets registry⟧ | true | null | |
jdc_operational:000037 | 52 | 0 | Trading Across Borders indicator | 1,595 | 1,627 | named | named | indicator | This is confirmed by Lebanon’s low ranking in the ⟦Trading Across Borders indicator⟧ of the latest Doing Business Report | false | null | |
jdc_operational:000037 | 59 | 1 | household and employer surveys | 748 | 778 | descriptive | descriptive | survey | Eight gender-focused ⟦household and employer surveys⟧ are completed and results are published on OMSWA website | true | null | |
jdc_operational:000037 | 59 | 1 | household and employer level surveys | 947 | 983 | descriptive | descriptive | survey | eight ⟦household and employer level surveys⟧ will be conducted to shed light on the challenges faced by women in the Lebanese labor market | true | null | |
jdc_operational:000037 | 59 | 1 | household-level survey | 1,083 | 1,105 | descriptive | descriptive | survey | The ⟦household-level survey⟧ would provide gender-disaggregated data on labor market outcomes | true | null | |
jdc_operational:000037 | 59 | 1 | employer survey | 1,248 | 1,263 | descriptive | descriptive | survey | The ⟦employer survey⟧ would be implemented in key economic sectors | true | null | |
jdc_operational:000037 | 59 | 1 | gender-disaggregated data | 1,444 | 1,469 | descriptive | descriptive | other | Such ⟦gender-disaggregated data⟧ are missing today | true | null | |
jdc_operational:000037 | 59 | 1 | gender-disaggregated data | 1,632 | 1,657 | descriptive | descriptive | other | Gender database with ⟦gender-disaggregated data⟧ (DLR 9.2) | true | null | |
jdc_operational:000037 | 59 | 1 | gender-disaggregated data | 1,764 | 1,789 | descriptive | descriptive | other | newly-collected ⟦gender-disaggregated data⟧ (as per DLR 9.1) | true | null | |
jdc_operational:000037 | 59 | 2 | gender-disaggregated data | 58 | 83 | descriptive | descriptive | other | newly-collected ⟦gender-disaggregated data⟧ (as per DLR 9.1) | true | null | |
jdc_operational:000037 | 59 | 2 | administrative data | 249 | 268 | descriptive | descriptive | administrative | compile existing ⟦administrative data⟧ related to women | true | null | |
jdc_operational:000037 | 5 | 0 | PAD DATA SHEET | 12 | 26 | named | named | other | ## **_<mark>⟦PAD DATA SHEET⟧</mark>_** | false | null | |
jdc_operational:000037 | 5 | 1 | Program Financing Data | 172 | 194 | named | named | other | ⟦Program Financing Data⟧<br>[ X ] Loan | false | null | |
jdc_operational:000037 | 60 | 0 | gender database | 785 | 800 | descriptive | descriptive | database | Established and operational ⟦gender database⟧ | true | null | |
jdc_operational:000037 | 60 | 0 | household- and firm-level surveys | 1,323 | 1,356 | descriptive | descriptive | survey | Design, implementation and analysis of eight ⟦household- and firm-level surveys⟧. | true | null | |
jdc_operational:000037 | 61 | 1 | gender-disaggregated database | 1,005 | 1,034 | descriptive | descriptive | database | setting up the ⟦gender-disaggregated database⟧ | true | null | |
jdc_operational:000037 | 61 | 1 | disaggregated data | 1,154 | 1,172 | vague | vague | other | surveys to be implemented to collect gender-⟦disaggregated data⟧ | true | null | |
jdc_operational:000037 | 75 | 1 | TSEZA records | 576 | 589 | named | named | administrative | IVA audits records of contractors carrying out construction on TSEZA and ⟦CDR database⟧[2] related to the project. | true | null | |
jdc_operational:000037 | 75 | 1 | CDR database | 924 | 936 | named | named | database | IVA audits records of contractors carrying out construction on TSEZA and ⟦CDR database⟧[2] related to the project. | true | null | |
jdc_operational:000037 | 76 | 0 | records of implementing agency | 1,020 | 1,050 | descriptive | descriptive | administrative | IVA reviews financial ⟦records of implementing agency⟧[3] transmitted through MOET | true | null | |
jdc_operational:000037 | 76 | 1 | records of implementing agency | 58 | 88 | descriptive | descriptive | administrative | IVA reviews financial ⟦records of implementing agency⟧[4] transmitted through MOET | true | null | |
jdc_operational:000037 | 77 | 0 | implementing agents records | 954 | 981 | descriptive | descriptive | administrative | (ii) ⟦implementing agents records⟧[5] transmitted | true | null | |
jdc_operational:000037 | 77 | 1 | beneficiary database | 164 | 184 | descriptive | descriptive | database | (iii) records from established ⟦beneficiary database⟧[6]. | true | null | |
jdc_operational:000037 | 77 | 1 | household and employer surveys | 329 | 359 | descriptive | descriptive | survey | Eight gender-focused ⟦household and employer surveys⟧[7] are completed and results are published on OMSWA website | true | null | |
jdc_operational:000037 | 77 | 1 | statistics database | 462 | 481 | descriptive | descriptive | database | A gender-disaggregated ⟦statistics database⟧[8] is established and its gender indicators are published on OMSWA website. | true | null | |
jdc_operational:000037 | 78 | 0 | Bank Disbursement Table | 6 | 29 | named | named | other | ### ⟦Bank Disbursement Table⟧[9] | false | null | |
jdc_operational:000037 | 82 | 2 | employer surveys | 363 | 379 | descriptive | descriptive | survey | gender-focused household and ⟦employer surveys⟧[10] are completed and results are published on OMSWA website | true | null | |
jdc_operational:000037 | 83 | 0 | statistics database | 512 | 531 | descriptive | descriptive | database | ⟦statistics database⟧[11] is established | true | null | |
jdc_operational:000037 | 83 | 0 | gender indicators | 561 | 578 | descriptive | descriptive | indicator | the ⟦gender indicators⟧[12] are published online | true | null | |
jdc_operational:000037 | 84 | 2 | 2011-12 Household Budget Survey | 296 | 327 | named | named | survey | Based on the ⟦2011-12 Household Budget Survey⟧[13] | true | null | |
jdc_operational:000037 | 84 | 2 | Data on registered refugees from UNHCR | 335 | 373 | descriptive | named | administrative | ⟦Data on registered refugees from UNHCR⟧[14] as of November 2017 | true | null | |
jdc_operational:000037 | 86 | 1 | Gender-focused labor market surveys | 992 | 1,027 | descriptive | descriptive | survey | • ⟦Gender-focused labor market surveys⟧[15] | true | null | |
jdc_operational:000037 | 86 | 1 | SME observatory | 1,088 | 1,103 | named | named | database | • ⟦SME observatory⟧[16] | true | null | |
jdc_operational:000037 | 96 | 1 | administrative data available from the MOF | 607 | 649 | descriptive | descriptive | administrative | High quality ⟦administrative data available from the MOF⟧[17] will allow for a high-quality non-experimental evaluation | true | null | |
jdc_operational:000037 | 99 | 2 | 2011 household survey data | 346 | 372 | descriptive | descriptive | survey | It is informed by ⟦2011 household survey data⟧[18] | true | null | |
jdc_operational:000038 | 12 | 0 | Available statistics | 1,783 | 1,803 | vague | vague | other | ⟦Available statistics⟧[19] indicate that over 2 million persons are now internally displaced | true | null | |
jdc_operational:000038 | 13 | 1 | Consumer Price Index | 734 | 754 | named | descriptive | indicator | according to the National Bureau for Statistics, the ⟦Consumer Price Index⟧[20] increased by 480 percent | true | null | |
jdc_operational:000038 | 14 | 0 | Consumer Price Index | 103 | 123 | named | descriptive | indicator | **Figure 1: ⟦Consumer Price Index⟧[21] of select commodity groups in Juba, South Sudan** | true | null | |
jdc_operational:000038 | 14 | 0 | Consumer Price Index | 316 | 336 | named | descriptive | indicator | ⟦Consumer Price Index⟧[22] | true | null | |
jdc_operational:000038 | 15 | 1 | Financial Tracking Service | 592 | 618 | named | named | system | according to the UN’s ⟦Financial Tracking Service⟧[23] (FTS), only about 18.5 percent | true | null | |
jdc_operational:000038 | 17 | 0 | National level data | 1,318 | 1,337 | vague | vague | other | ⟦National level data⟧[24] shows that despite some increase in area cropped under cereals | true | null |
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