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|---|---|---|---|---|---|---|---|---|---|---|---|---|
refugee_pads:000150 | 29 | 1 | Times Higher Education rankings | 1,729 | 1,760 | named | named | other | a “university within the 50 or 100 top computer science universities according to ⟦Times Higher Education rankings⟧[14].” | false | null | |
refugee_pads:000150 | 33 | 0 | follow-up surveys | 842 | 859 | descriptive | descriptive | survey | Periodic ⟦follow-up surveys⟧[15] will be conducted by the project to assess progress in implementing the business plans and support provided. | true | null | |
refugee_pads:000150 | 35 | 0 | 2013–2014 household survey | 2,061 | 2,087 | descriptive | descriptive | survey | Using the ⟦2013–2014 household survey⟧[16] to estimate the share | true | null | |
refugee_pads:000150 | 35 | 1 | 2013–2014 household survey | 203 | 229 | descriptive | descriptive | survey | Using the ⟦2013–2014 household survey⟧[17] to estimate the share of the NEET youth population | true | null | |
refugee_pads:000150 | 35 | 1 | UNDP population projection | 464 | 490 | named | named | estimates | and using the ⟦UNDP population projection⟧[18] to estimate the NEET population | true | null | |
refugee_pads:000150 | 41 | 1 | Beneficiary surveys | 1,287 | 1,306 | descriptive | descriptive | survey | ⟦Beneficiary surveys⟧[19] will be conducted by a third party annually to further measure achievement of results | true | null | |
refugee_pads:000150 | 41 | 1 | operational data for project indicators | 1,879 | 1,918 | descriptive | descriptive | other | an M&E system will be set up to host and manage ⟦operational data for project indicators⟧[20]. | true | null | |
refugee_pads:000150 | 41 | 2 | operational data for project indicators | 27 | 66 | descriptive | descriptive | other | set up to host and manage ⟦operational data for project indicators⟧[21]. | true | null | |
refugee_pads:000150 | 42 | 0 | geo-referenced project data | 118 | 145 | descriptive | descriptive | geospatial | to gather ⟦geo-referenced project data⟧[22] that feeds directly into the central database. | true | null | |
refugee_pads:000150 | 43 | 1 | Youth Labour Statistics | 1,618 | 1,641 | named | named | other | ⟦Youth Labour Statistics⟧[23], International Labour Organization, https://ilostat.ilo.org/topics/youth/. | true | null | |
refugee_pads:000150 | 44 | 1 | ECVMB 2013 survey data | 407 | 429 | named | named | survey | Opportunity costs and post-program earnings are based on ⟦ECVMB 2013 survey data⟧[24] for project target sub-populations. | true | null | |
refugee_pads:000150 | 58 | 1 | Administrative data | 612 | 631 | descriptive | descriptive | administrative | ⟦Administrative data⟧[25] (registry of sector training hubs) | true | null | |
refugee_pads:000150 | 59 | 1 | Administrative data | 189 | 208 | descriptive | descriptive | administrative | |⟦Administrative data⟧[26]| | true | null | |
refugee_pads:000150 | 60 | 0 | Administrative data | 680 | 699 | descriptive | descriptive | administrative | ⟦Administrative data⟧[27] (⟦registry of CEMs⟧[28]) | true | null | |
refugee_pads:000150 | 60 | 0 | registry of CEMs | 704 | 720 | descriptive | descriptive | administrative | ⟦registry of CEMs⟧[28] | true | null | |
refugee_pads:000150 | 60 | 0 | Administrative Data | 1,310 | 1,329 | descriptive | descriptive | administrative | ⟦Administrative Data⟧[29] | true | null | |
refugee_pads:000150 | 60 | 1 | Administrative Data | 121 | 140 | descriptive | descriptive | administrative | ⟦Administrative Data⟧[1] ( ⟦registry of CEMs⟧[2]) | true | null | |
refugee_pads:000150 | 60 | 1 | registry of CEMs | 146 | 162 | named | descriptive | administrative | ⟦Administrative Data⟧[1] ( ⟦registry of CEMs⟧[2]) | true | null | |
refugee_pads:000150 | 60 | 1 | Administrative data | 355 | 374 | descriptive | descriptive | administrative | ⟦Administrative data⟧[3] ( registry records within | true | null | |
refugee_pads:000150 | 61 | 0 | Administrative data | 1,048 | 1,067 | descriptive | descriptive | administrative | ⟦Administrative data⟧[4] ( University of Burundi registry) | true | null | |
refugee_pads:000150 | 61 | 0 | Administrative data | 1,298 | 1,317 | descriptive | descriptive | administrative | ⟦Administrative data⟧[5] at the Universityof | true | null | |
refugee_pads:000150 | 62 | 0 | Administrative data | 767 | 786 | descriptive | descriptive | administrative | ⟦Administrative data⟧[6], will capture the number of young | true | null | |
refugee_pads:000150 | 63 | 0 | Administrative data | 259 | 278 | descriptive | descriptive | administrative | <br>⟦Administrative data⟧[7] | true | null | |
refugee_pads:000150 | 63 | 0 | Administrative data | 611 | 630 | descriptive | descriptive | administrative | <br>⟦Administrative data⟧[8] | true | null | |
refugee_pads:000150 | 63 | 1 | Administrative data | 519 | 538 | descriptive | descriptive | administrative | ⟦Administrative data⟧[9] (<br>project files) | true | null | |
refugee_pads:000150 | 64 | 0 | Administrative data | 874 | 893 | descriptive | descriptive | administrative | ⟦Administrative data⟧[10] | true | null | |
refugee_pads:000150 | 64 | 1 | project records | 467 | 482 | descriptive | descriptive | administrative | On-site verification,<br>⟦project records⟧[11] | true | null | |
refugee_pads:000150 | 65 | 1 | Project records | 664 | 679 | descriptive | descriptive | administrative | ⟦Project records⟧[12] | true | null | |
refugee_pads:000150 | 66 | 0 | project records | 1,120 | 1,135 | descriptive | descriptive | administrative | Administrative date (<br>⟦project records⟧[13]) | true | null | |
refugee_pads:000150 | 66 | 1 | project records | 1 | 16 | descriptive | descriptive | administrative | >⟦project records⟧[14]) | true | null | |
refugee_pads:000150 | 67 | 0 | Administrative data | 795 | 814 | descriptive | descriptive | administrative | ⟦Administrative data⟧[15] (<br>⟦project data⟧[16]) | true | null | |
refugee_pads:000150 | 67 | 0 | project data | 820 | 832 | descriptive | descriptive | administrative | ⟦Administrative data⟧[15] (<br>⟦project data⟧[16]) | true | null | |
refugee_pads:000150 | 67 | 1 | Administrative data | 248 | 267 | descriptive | descriptive | administrative | ⟦Administrative data⟧[17] | true | null | |
refugee_pads:000150 | 68 | 0 | Administrative data | 577 | 596 | descriptive | descriptive | administrative | ⟦Administrative data⟧[18] | true | null | |
refugee_pads:000150 | 68 | 0 | Administrative data | 986 | 1,005 | descriptive | descriptive | administrative | ⟦Administrative data⟧[19] | true | null | |
refugee_pads:000150 | 68 | 1 | Beneficiary surveys | 373 | 392 | descriptive | descriptive | survey | ⟦Beneficiary surveys⟧[20] | true | null | |
refugee_pads:000150 | 70 | 1 | Monthly cumulative COVID-19 cases | 976 | 1,009 | descriptive | descriptive | indicator | Figure A1.1. ⟦Monthly cumulative COVID-19 cases⟧[21] | true | null | |
refugee_pads:000150 | 75 | 0 | Times Higher Education rankings | 1,109 | 1,140 | named | named | other | according to ⟦Times Higher Education rankings⟧[22] | false | null | |
refugee_pads:000150 | 78 | 2 | MNESRS | 5 | 11 | named | named | other | the ⟦MNESRS⟧[23] | false | null | |
refugee_pads:000150 | 79 | 2 | database | 630 | 638 | vague | vague | database | through a ⟦database⟧[24], which will include all the selected beneficiaries | true | null | |
refugee_pads:000150 | 91 | 1 | MNESR | 1,311 | 1,316 | named | named | other | according to the ⟦MNESR⟧[25], of the already small number of students enrolled in ICT courses in 2017/18 | false | null | |
refugee_pads:000150 | 92 | 0 | 2008 General Population and Housing Census | 1,133 | 1,175 | named | named | census | According to the ⟦2008 General Population and Housing Census⟧[26], 80.2 percent of the population owns land | true | null | |
refugee_pads:000150 | 92 | 1 | jobs diagnostics | 1,659 | 1,675 | descriptive | descriptive | other | will use ⟦jobs diagnostics⟧[27] and other available data to identify high productivity sectors | false | null | |
refugee_pads:000150 | 93 | 1 | survey of potential female participants | 1,587 | 1,626 | descriptive | descriptive | survey | undertake a ⟦survey of potential female participants⟧[28] to understand their time constraints | true | null | |
refugee_pads:000151 | 10 | 0 | survey of socially vulnerable electricity consumers | 1,359 | 1,410 | descriptive | descriptive | survey | for a ⟦survey of socially vulnerable electricity consumers⟧[29] | true | null | |
refugee_pads:000151 | 26 | 0 | unaudited financial information | 1,275 | 1,306 | descriptive | descriptive | other | Based on ⟦unaudited financial information⟧[30], perfonnance improved in 2000 | true | null | |
refugee_pads:000151 | 27 | 1 | unaudited financial information | 821 | 852 | descriptive | descriptive | other | Based on ⟦unaudited financial information⟧, 2000 continued to be difficult for EPRS. | true | null | |
refugee_pads:000151 | 31 | 0 | hourly data | 498 | 509 | vague | vague | other | collating ⟦hourly data⟧ and relaying it to the control centers | true | null | |
refugee_pads:000151 | 33 | 1 | qualitative consumer satisfaction survey | 1,471 | 1,511 | descriptive | descriptive | survey | a ⟦qualitative consumer satisfaction survey⟧ | true | null | |
refugee_pads:000151 | 33 | 1 | household survey for Bosnia and Herzegovina | 1,639 | 1,682 | descriptive | descriptive | survey | the ⟦household survey for Bosnia and Herzegovina⟧ due to be completed | true | null | |
refugee_pads:000151 | 34 | 0 | consumer satisfaction survey | 201 | 229 | descriptive | descriptive | survey | The ⟦consumer satisfaction survey⟧ would focus on the following topics | true | null | |
refugee_pads:000151 | 45 | 0 | survey of socially vulnerable electricity consumers | 1,693 | 1,744 | descriptive | descriptive | survey | a ⟦survey of socially vulnerable electricity consumers⟧ | true | null | |
refugee_pads:000151 | 45 | 1 | survey of socially vulnerable electricity consumers | 52 | 103 | descriptive | descriptive | survey | a ⟦survey of socially vulnerable electricity consumers⟧ | true | null | |
refugee_pads:000151 | 52 | 1 | social survey of consumers | 632 | 658 | descriptive | descriptive | survey | A ⟦social survey of consumers⟧ to identify those who would need assistance to pay for electricity. | true | null | |
refugee_pads:000151 | 64 | 10 | EPBiIH EPM | 435 | 445 | named | named | database | Sources Actual Data from ⟦EPBiIH EPM⟧ and | true | null | |
refugee_pads:000151 | 64 | 10 | EPIR2 tDA Iorncastn | 450 | 469 | named | named | database | Sources Actual Data from ⟦EPIR2 tDA Iorncastn⟧- | true | null | |
refugee_pads:000151 | 74 | 0 | Actual and Forecast Balance Sheet | 91 | 124 | named | descriptive | other | ⟦Actual and Forecast Balance Sheet⟧ for years ending December 31 | true | null | |
refugee_pads:000151 | 77 | 0 | Actual and Forecast B3alance Sheet | 81 | 115 | named | descriptive | other | ⟦Actual and Forecast B3alance Sheet⟧ for Years Ending December 31 | true | null | |
refugee_pads:000151 | 79 | 0 | survey of socially vulnerable electricity consumers | 264 | 315 | descriptive | descriptive | survey | a ⟦survey of socially vulnerable electricity consumers⟧ (US$ 0.1 million) | true | null | |
refugee_pads:000151 | 7 | 1 | electricity tariff study | 1,890 | 1,914 | descriptive | descriptive | other | recommendations for improving billing and collection and reducing distribution losses made by a recently completed ⟦electricity tariff study⟧ | false | null | |
refugee_pads:000151 | 84 | 0 | procurement data | 205 | 221 | descriptive | descriptive | other | which will collect and keep up-to-date all ⟦procurement data⟧ and use this in progress reports to the Bank | true | null | |
refugee_pads:000151 | 87 | 2 | 1998 TRANSPORT RECON. II | 40 | 64 | named | named | other | ⟦1998 TRANSPORT RECON. II⟧ | false | null | |
refugee_pads:000151 | 89 | 5 | 1999 data | 369 | 378 | vague | vague | estimates | Note: ⟦1999 data⟧ are preliminary estimates. | true | null | |
refugee_pads:000151 | 92 | 1 | data on physical activities | 722 | 749 | descriptive | descriptive | other | items for which ⟦data on physical activities⟧ can be easily captured | true | null | |
refugee_pads:000151 | 93 | 0 | financial data | 355 | 369 | vague | vague | other | The system is capable of providing ⟦financial data⟧ to measure performance | true | null | |
refugee_pads:000152 | 12 | 2 | World Bank Development Indicators | 443 | 476 | named | named | database | ⟦World Bank Development Indicators⟧ (2017). | true | null | |
refugee_pads:000152 | 13 | 0 | Human Capital Index | 1,510 | 1,529 | named | named | indicator | Niger ranks 155 out 157 countries in the ⟦Human Capital Index⟧ (HCI) | true | null | |
refugee_pads:000152 | 14 | 1 | World Development Indicators | 1,926 | 1,954 | named | named | database | ⟦World Development Indicators⟧. Accessed March 2020 | true | null | |
refugee_pads:000152 | 14 | 2 | World Development Indicators | 248 | 276 | named | named | database | > 6 ⟦World Development Indicators⟧. Accessed March 2020 from | true | null | |
refugee_pads:000152 | 14 | 2 | Service Delivery Indicators | 582 | 609 | named | named | database | > 10 ⟦Service Delivery Indicators⟧, 2017. | true | null | |
refugee_pads:000152 | 20 | 0 | personal data | 936 | 949 | vague | vague | other | Large volumes of ⟦personal data⟧, personally identifiable information and sensitive data are likely to be collected and used | false | null | |
refugee_pads:000152 | 24 | 1 | databases available in countryand externally | 1,519 | 1,563 | vague | descriptive | database | using ⟦databases available in countryand externally⟧ | true | null | |
refugee_pads:000152 | 27 | 1 | personal data | 814 | 827 | vague | vague | other | Large volumes of ⟦personal data⟧, personally identifiable information and sensitive data are likely to be collected and used | false | null | |
refugee_pads:000152 | 28 | 0 | personal data | 802 | 815 | vague | vague | other | Large volumes of ⟦personal data⟧, personally identifiable information and sensitive data are likely to be collected and used | false | null | |
refugee_pads:000152 | 5 | 0 | MPA Financing Data | 1,332 | 1,350 | named | named | other | **⟦MPA Financing Data⟧ (US$ | false | null | |
refugee_pads:000152 | 5 | 1 | MPA Financing Data | 221 | 239 | named | named | other | **⟦MPA Financing Data⟧ (US$, Millions) Financing** | false | null | |
refugee_pads:000152 | 6 | 1 | PROJECT FINANCING DATA | 111 | 133 | named | descriptive | other | PROJECT FINANCING DATA (US$, Millions) | true | null | |
refugee_pads:000152 | 7 | 1 | INSTITUTIONAL DATA | 201 | 219 | descriptive | descriptive | other | INSTITUTIONAL DATA | false | null | |
refugee_pads:000153 | 11 | 1 | high frequency data | 680 | 699 | vague | descriptive | other | high frequency data indicate that food prices started increasing in February 2022 | true | null | |
refugee_pads:000153 | 12 | 1 | Climate Change Vulnerability Index | 1,260 | 1,294 | named | named | indicator | according to the Climate Change Vulnerability Index | true | null | |
refugee_pads:000153 | 13 | 0 | data provided by the Global Network Against Food Crises | 209 | 264 | named | named | other | Source: Developed from data provided by the Global Network Against Food Crises and IPC | true | null | |
refugee_pads:000153 | 14 | 0 | Human Capital Index | 190 | 209 | named | named | indicator | South Sudan ranked 172 out of 174 in the Human Capital Index (HCI) in 2020 | true | null | |
refugee_pads:000153 | 14 | 2 | Human Capital Index 2020 | 663 | 687 | named | named | other | See World Bank. 2020. Human Capital Index 2020. | false | null | |
refugee_pads:000153 | 15 | 2 | Refugee and Asylum Seeker Population | 553 | 589 | named | named | database | South Sudan: Refugee and Asylum Seeker Population, UNHCR, 31 December 2021, Available at: https://data2.unhcr.org/en/country/ssd | true | null | |
refugee_pads:000153 | 17 | 0 | robust data on coverage | 1,866 | 1,889 | vague | vague | other | robust data on coverage do not exist | false | null | |
refugee_pads:000153 | 20 | 0 | integrated biometric and Management Information System | 1,699 | 1,753 | named | descriptive | system | Percentage of beneficiaries paid using the integrated biometric and Management Information System (MIS) | true | null | |
refugee_pads:000153 | 23 | 0 | MIS | 1,168 | 1,171 | named | named | system | the list of beneficiaries will be generated from the MIS | true | null | |
refugee_pads:000153 | 23 | 0 | MIS | 1,177 | 1,180 | named | named | system | The MIS will capture beneficiaries' biometric data | true | null | |
refugee_pads:000153 | 23 | 0 | biometric data | 1,209 | 1,223 | descriptive | vague | other | The MIS will capture beneficiaries' biometric data | false | null | |
refugee_pads:000153 | 25 | 0 | diagnostic of the South Sudan SP sector | 1,799 | 1,838 | descriptive | descriptive | other | a diagnostic of the South Sudan SP sector undertaken by the World Bank found that majority of the safety net interventions in the country tend to include work requirements | false | null | |
refugee_pads:000153 | 25 | 1 | diagnostic of the South Sudan SP sector | 4 | 43 | descriptive | descriptive | other | A diagnostic of the South Sudan SP sector undertaken by the World Bank found that majority of the safety net interventions in the country tend to include work requirements | false | null | |
refugee_pads:000153 | 30 | 1 | SSSNP caseload | 1,053 | 1,067 | named | descriptive | other | 65,000 will continue to be from the SSSNP caseload | false | null | |
refugee_pads:000153 | 35 | 0 | preliminary findings from SSSNP | 1,110 | 1,141 | named | descriptive | other | preliminary findings from SSSNP suggest that the number of HHs that saved increased by 13 percentage points | false | null | |
refugee_pads:000153 | 39 | 0 | Registration Lessons Learned surveys | 965 | 1,001 | descriptive | named | survey | Key M&E activities will include Registration Lessons Learned surveys that will assess the effectiveness of targeting and registration | true | null | |
refugee_pads:000153 | 42 | 1 | gender-disaggregated data | 1,182 | 1,207 | descriptive | vague | other | all M&E activities will employ gender-disaggregated data to monitor the participation and performance of female beneficiaries | false | null | |
refugee_pads:000153 | 44 | 2 | Flagship Survey | 356 | 371 | named | named | survey | UNHCR has recently initiated a ‘Flagship Survey’ that will provide rich new data on the socioeconomic conditions of refugees and hosts in South Sudan | true | null | |
refugee_pads:000153 | 45 | 0 | World Bank staff estimates | 661 | 687 | descriptive | named | estimates | Source: World Bank staff estimates | true | null | |
refugee_pads:000153 | 50 | 1 | 2021 Corruption Perception Index | 1,398 | 1,430 | named | named | indicator | The 2021 Corruption Perception Index ranked the country as most corrupt | true | null | |
refugee_pads:000153 | 55 | 0 | beneficiary data | 559 | 575 | descriptive | vague | other | The implementing partner will collect beneficiary data during targeting and registration | false | null | |
refugee_pads:000153 | 55 | 0 | payment data | 807 | 819 | descriptive | vague | other | The payment service provider will document payment data and share with the implementing partner | false | null |
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