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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
jdc_operational:000038 | 30 | 0 | contract register | 1,452 | 1,469 | descriptive | descriptive | administrative | The PIU will maintain an up to date ⟦contract register⟧[25] as well as an ⟦assets register⟧[26]. | true | null | |
jdc_operational:000038 | 30 | 0 | assets register | 1,484 | 1,499 | descriptive | descriptive | administrative | The PIU will maintain an up to date ⟦contract register⟧[25] as well as an ⟦assets register⟧[26]. | true | null | |
jdc_operational:000038 | 30 | 1 | Bank records | 1,037 | 1,049 | descriptive | descriptive | administrative | which will be used to account for expenditures in the ⟦Bank records⟧[27]. | true | null | |
jdc_operational:000038 | 33 | 0 | community scorecards | 124 | 144 | descriptive | descriptive | other | will also be ascertained through ⟦community scorecards⟧[28] to understand implementation effectiveness and accrued benefits to targeted households. | false | null | |
jdc_operational:000038 | 42 | 0 | IPC | 543 | 546 | named | named | system | Results from the newly released ⟦IPC⟧[29] indicate that between February and April 2017 an estimated 4.9 million people | true | null | |
jdc_operational:000038 | 51 | 0 | contract register | 1,477 | 1,494 | descriptive | descriptive | administrative | maintain an up-to-date ⟦contract register⟧ | true | null | |
jdc_operational:000038 | 51 | 0 | assets register | 1,509 | 1,524 | descriptive | descriptive | administrative | as well as an ⟦assets register⟧ | true | null | |
jdc_operational:000038 | 51 | 1 | Bank records | 836 | 848 | descriptive | descriptive | administrative | used to account for expenditures in the ⟦Bank records⟧ | true | null | |
jdc_operational:000038 | 59 | 0 | transparencycorruptionperception index | 1,147 | 1,185 | named | named | indicator | ranked the second most corrupt country in the world on ⟦transparencycorruptionperception index⟧ | true | null | |
jdc_operational:000038 | 61 | 2 | approved beneficiary list | 140 | 165 | descriptive | descriptive | administrative | in which an ⟦approved beneficiary list⟧, allocated budget and key program information will be provided | true | null | |
jdc_operational:000038 | 62 | 0 | community scorecards | 124 | 144 | descriptive | descriptive | other | ascertained through ⟦community scorecards⟧ to understand implementation effectiveness | false | null | |
jdc_operational:000038 | 64 | 2 | data in Table 32 of World Bank 2012 | 350 | 385 | descriptive | named | report | Based on ⟦data in Table 32 of World Bank 2012⟧ (Agricultural Potential, Rural Roads, and Farm Competitiveness in South Sudan) | true | null | |
jdc_operational:000038 | 65 | 2 | Crop and Livestock Market Information System South Sudan | 1,083 | 1,139 | named | named | system | ⟦Crop and Livestock Market Information System South Sudan⟧ (December 2016) | true | null | |
jdc_operational:000038 | 65 | 2 | Juba Bi‐Weekly Price Watch | 1,157 | 1,183 | named | named | report | ⟦Juba Bi‐Weekly Price Watch⟧ – December 2016, Week 4 | true | null | |
jdc_operational:000038 | 66 | 0 | field survey data | 544 | 561 | descriptive | descriptive | survey | Sources: Averages based on ⟦field survey data⟧ February‐March 2011 | true | null | |
jdc_operational:000038 | 66 | 1 | P147900 Southern Sudan EFCRP | 1,191 | 1,219 | named | named | other | Source: Authors’ estimates, based on ⟦P147900 Southern Sudan EFCRP⟧ | false | null | |
jdc_operational:000038 | 66 | 2 | P147900 Southern Sudan EFCRP | 54 | 82 | named | named | other | Source: Authors’ estimates, based on ⟦P147900 Southern Sudan EFCRP⟧ | false | null | |
jdc_operational:000038 | 67 | 0 | P147900 Southern Sudan EFCRP | 203 | 231 | named | named | other | Source: Authors’ estimates, based on ⟦P147900 Southern Sudan EFCRP⟧ | false | null | |
jdc_operational:000038 | 69 | 0 | Available statistics | 1,486 | 1,506 | vague | vague | other | ⟦Available statistics⟧ indicate that over 2 million persons are now internally displaced | true | null | |
jdc_operational:000038 | 69 | 1 | real time data | 505 | 519 | vague | vague | other | lack of ⟦real time data⟧ | true | null | |
jdc_operational:000038 | 70 | 0 | Consumer Price Index | 1,582 | 1,602 | named | named | indicator | the ⟦Consumer Price Index⟧ increased by 480 percent | true | null | |
jdc_operational:000038 | 72 | 0 | surveys | 1,830 | 1,837 | vague | descriptive | survey | identified based on ⟦surveys⟧ and predetermined criteria | true | null | |
jdc_operational:000039 | 13 | 0 | DHS | 314 | 317 | named | named | survey | (⟦DHS⟧ 2014/15) | true | null | |
jdc_operational:000039 | 13 | 2 | Refugee Protection Assessment for Chad | 742 | 780 | named | named | report | United Nations High Commissioner for Refugees (UNHCR) ⟦Refugee Protection Assessment for Chad⟧, January 2020 | false | null | |
jdc_operational:000039 | 14 | 0 | SARA survey | 541 | 552 | named | named | survey | according to the most recent ⟦SARA survey⟧ | true | null | |
jdc_operational:000039 | 14 | 0 | DHS 2014/2015 | 1,541 | 1,554 | named | named | survey | According to the ⟦DHS 2014/2015⟧, only 25 percent of women attended | true | null | |
jdc_operational:000039 | 24 | 0 | REDISSE IV’s indicators | 634 | 657 | named | descriptive | other | by reports on ⟦REDISSE IV’s indicators⟧ | false | null | |
jdc_operational:000039 | 30 | 0 | databases available in country and externally | 276 | 321 | descriptive | descriptive | database | using ⟦databases available in country and externally⟧ | true | null | |
jdc_operational:000039 | 36 | 0 | MOPH report | 569 | 580 | named | descriptive | report | quarterly|⟦MOPH report⟧|⟦routine data⟧|MOH | true | null | |
jdc_operational:000039 | 36 | 0 | routine data | 581 | 593 | vague | vague | administrative | quarterly|MOPH report|⟦routine data⟧|MOH | true | null | |
jdc_operational:000039 | 36 | 0 | routine data | 988 | 1,000 | vague | vague | administrative | weekly|COVID-19 report|⟦routine data⟧|MOPH | true | null | |
jdc_operational:000039 | 37 | 0 | routine data | 515 | 527 | vague | vague | administrative | once|COVID-19<br>report|⟦routine data⟧|MOPH | true | null | |
jdc_operational:000039 | 37 | 0 | routine data | 765 | 777 | vague | vague | administrative | weekly|COVID-19 report|⟦routine data⟧|MOPH | true | null | |
jdc_operational:000039 | 37 | 1 | routine data | 223 | 235 | vague | vague | administrative | weekly|-<br>report|⟦routine data⟧|MOPH | true | null | |
jdc_operational:000039 | 37 | 1 | routine data | 460 | 472 | vague | vague | administrative | weekly|-<br>report|⟦routine data⟧|MOPH | true | null | |
jdc_operational:000039 | 5 | 0 | MPA Financing Data | 1,300 | 1,318 | named | named | other | **⟦MPA Financing Data⟧[1] (US$, Millions) Financing** | false | null | |
jdc_operational:000039 | 6 | 1 | PROJECT FINANCING DATA | 54 | 76 | descriptive | named | other | ## **⟦PROJECT FINANCING DATA⟧[2] (US$, Millions)** | false | null | |
jdc_operational:000040 | 10 | 0 | geospatial master plan for Uganda | 1,074 | 1,107 | descriptive | descriptive | other | based on the ⟦geospatial master plan for Uganda⟧[3] which is under preparation | false | null | |
jdc_operational:000040 | 1 | 0 | PROJECT FINANCING DATA | 1,148 | 1,170 | descriptive | named | other | ## **⟦PROJECT FINANCING DATA⟧[4] (US$, Millions)** | false | null | |
jdc_operational:000040 | 3 | 0 | 2019 Gender Inequality Index | 927 | 955 | named | named | indicator | Uganda ranking 131 out of 161 countries in the ⟦2019 Gender Inequality Index⟧[5] | true | null | |
jdc_operational:000040 | 3 | 1 | World Bank World Development Indicators | 1,665 | 1,704 | named | named | database | > 1 ⟦World Bank World Development Indicators⟧[6] (2017). | true | null | |
jdc_operational:000040 | 3 | 2 | World Bank World Development Indicators | 87 | 126 | named | named | database | > 1 ⟦World Bank World Development Indicators⟧[7] (2017). | true | null | |
jdc_operational:000040 | 5 | 2 | National Electrification Survey Report-2018 | 791 | 834 | named | named | survey | According to the ⟦National Electrification Survey Report-2018⟧[8] (UBOS, 2020), 18 percent of the population currently relies on off-grid solar technologies | true | null | |
jdc_operational:000040 | 6 | 0 | Poverty Maps of Uganda | 844 | 866 | named | named | geospatial | As reported in the ⟦Poverty Maps of Uganda⟧[9] Technical Report (World Bank, November 2019), the districts with the highest access deficits below 10 percent, also correspond to the poorest ones, as visualized in the maps in figure 2. | true | null | |
jdc_operational:000040 | 6 | 0 | SDG7 tracking report | 1,636 | 1,656 | named | named | report | The ⟦SDG7 tracking report⟧[10]<sup>9</sup> identified Uganda as one of the 20 largest deficit countries | true | null | |
jdc_operational:000040 | 6 | 1 | SDG7 tracking report | 63 | 83 | named | named | report | The ⟦SDG7 tracking report⟧[11]<sup>9</sup> identified Uganda as one of the 20 largest deficit countries | true | null | |
jdc_operational:000040 | 6 | 2 | Uganda Solar Market Report | 864 | 890 | named | named | report | > 8 USEA, ⟦Uganda Solar Market Report⟧[12]. Annual Sales and Impact Data. | true | null | |
jdc_operational:000040 | 6 | 2 | GOGLA Global Off-Grid Solar Market Reports | 945 | 987 | named | named | report | ⟦GOGLA Global Off-Grid Solar Market Reports⟧[13]. Sales and Impact Data for H1 2020. | true | null | |
jdc_operational:000041 | 10 | 0 | Human Development Index | 548 | 571 | named | named | indicator | The ⟦Human Development Index⟧[14] (HDI), which measures long‐term progress in three basic dimensions of human development | true | null | |
jdc_operational:000041 | 10 | 0 | 2016 government census | 1,641 | 1,663 | descriptive | descriptive | census | Per the recent ⟦2016 government census⟧[15], the total number of Syrians in Jordan reached an estimated 1.265 million | true | null | |
jdc_operational:000041 | 10 | 1 | 2016 government census | 150 | 172 | descriptive | descriptive | census | Per the recent ⟦2016 government census⟧[16], the total number of Syrians in Jordan reached an estimated 1.265 million | true | null | |
jdc_operational:000041 | 10 | 1 | Human Development Data | 1,463 | 1,485 | named | named | database | > 1 ⟦Human Development Data⟧[17] (1990–2015); Human Development Report. 2016. | true | null | |
jdc_operational:000041 | 10 | 1 | National census | 1,685 | 1,700 | descriptive | descriptive | census | > 4 Department of Statistics (DOS); ⟦National census⟧[18]. November 2016. | true | null | |
jdc_operational:000041 | 11 | 2 | World Bank EdStats data base | 456 | 484 | named | named | database | > 6 ⟦World Bank EdStats data base⟧[19]—illiteracy rates, primary gross enrollment ratio, and transition rate to secondary school. | true | null | |
jdc_operational:000041 | 13 | 0 | 2014 Early Development Instrument | 577 | 610 | named | named | other | The ⟦2014 Early Development Instrument⟧[20], for example, revealed that a quarter of children enrolled in public KG2 in Jordan are “not ready to learn” | false | null | |
jdc_operational:000041 | 13 | 0 | 2015 Program for International Student Assessment | 1,549 | 1,598 | named | named | other | as measured by the ⟦2015 Program for International Student Assessment⟧[21] (PISA). | false | null | |
jdc_operational:000041 | 13 | 0 | learning outcome data | 1,620 | 1,641 | vague | vague | other | Furthermore, ⟦learning outcome data⟧[22] show a reverse gender gap | true | null | |
jdc_operational:000041 | 13 | 2 | MOE data | 442 | 450 | descriptive | vague | other | According to ⟦MOE data⟧[23] for the 2015‐2016 academic year, enrollment is similar for girls and boys. | true | null | |
jdc_operational:000041 | 14 | 1 | monthly violence surveys | 1,620 | 1,644 | descriptive | descriptive | survey | The MOE has also initiated ⟦monthly violence surveys⟧[24] that act as deterrents for teachers from using violence | true | null | |
jdc_operational:000041 | 15 | 0 | Trends in International Mathematics and Science Study | 290 | 343 | named | named | other | Jordan has participated in the ⟦Trends in International Mathematics and Science Study⟧[25] (TIMSS) for grade 8 in mathematics and science since 1999 | false | null | |
jdc_operational:000041 | 15 | 0 | Early Grade Reading and Math Assessments | 539 | 579 | named | named | other | Jordan also recently started administering the ⟦Early Grade Reading and Math Assessments⟧[26] (EGRA and EGMA) | false | null | |
jdc_operational:000041 | 16 | 0 | student learning data | 802 | 823 | descriptive | vague | other | the collection, analysis, and use of ⟦student learning data⟧[27] | true | null | |
jdc_operational:000041 | 16 | 0 | disaggregated and gender‐sensitive data | 828 | 867 | descriptive | vague | other | the collection, analysis, and use of ⟦disaggregated and gender‐sensitive data⟧[28] are essential | true | null | |
jdc_operational:000041 | 16 | 1 | OpenEMIS | 1,805 | 1,813 | named | named | system | The use of the PforR instrument is an opportunity to leverage MOE’s investments in data systems, such as the ⟦OpenEMIS⟧[29] | true | null | |
jdc_operational:000041 | 20 | 1 | disaggregated and gender‐sensitive data | 1,710 | 1,749 | vague | vague | other | the strengthening of the existing OpenEMIS to allow MOE to analyze and make use of ⟦disaggregated and gender‐sensitive data⟧[30] for decision making | true | null | |
jdc_operational:000041 | 25 | 0 | disaggregated school level data | 903 | 934 | descriptive | descriptive | other | The system captures ⟦disaggregated school level data⟧[1] on students, teachers, grades, subjects, and teaching periods | true | null | |
jdc_operational:000041 | 25 | 0 | disaggregated data | 1,471 | 1,489 | vague | vague | other | provide all necessary ⟦disaggregated data⟧[2] needed to monitor Program indicators and DLIs | true | null | |
jdc_operational:000041 | 40 | 1 | training records | 537 | 553 | descriptive | descriptive | administrative | The verification agency will<br>verify ⟦training records⟧[3] for<br>teachers' training | true | null | |
jdc_operational:000041 | 41 | 0 | Teacher surveys | 208 | 223 | descriptive | descriptive | survey | ⟦Teacher surveys⟧[4] | true | null | |
jdc_operational:000041 | 41 | 0 | disaggregated data | 1,112 | 1,130 | vague | vague | other | produce accurate and timely<br>⟦disaggregated data⟧[5] needed for program monitoring<br>and evaluation | true | null | |
jdc_operational:000041 | 45 | 1 | Enrollment data | 406 | 421 | descriptive | descriptive | administrative | ⟦Enrollment data⟧[6] and disaggregation<br>is provided to the verification<br>agency | true | null | |
jdc_operational:000041 | 47 | 1 | evaluation records | 916 | 934 | descriptive | descriptive | administrative | MOE Teacher<br>⟦evaluation records⟧[7] | true | null | |
jdc_operational:000041 | 47 | 1 | teacher evaluation records | 986 | 1,012 | descriptive | descriptive | administrative | The verification agency will verify<br>⟦teacher evaluation records⟧[8] | true | null | |
jdc_operational:000041 | 47 | 2 | certification records | 434 | 455 | descriptive | descriptive | administrative | MOE Training and<br>⟦certification records⟧[9] | true | null | |
jdc_operational:000041 | 47 | 2 | training records | 507 | 523 | descriptive | descriptive | administrative | The verification agency will verify<br>⟦training records⟧[10] for teachers'<br>training | true | null | |
jdc_operational:000041 | 47 | 2 | certification records | 576 | 597 | descriptive | descriptive | administrative | will check teacher<br>⟦certification records⟧[11] | true | null | |
jdc_operational:000041 | 49 | 1 | examination data | 698 | 714 | vague | descriptive | other | MOE will analyze the ⟦examination data⟧[12] | true | null | |
jdc_operational:000041 | 63 | 0 | 2010 _Income and Expenditure Survey_ | 468 | 504 | named | named | survey | Data for this analysis are obtained mainly from the ⟦2010 _Income and Expenditure Survey_⟧[13] | true | null | |
jdc_operational:000041 | 63 | 0 | household survey of the labor force | 509 | 544 | descriptive | descriptive | survey | a ⟦household survey of the labor force⟧[14] | true | null | |
jdc_operational:000041 | 63 | 0 | 2015 Population and Housing Census | 559 | 593 | named | named | census | and from the ⟦2015 Population and Housing Census⟧[15] conducted by the Department of Statistics | true | null | |
jdc_operational:000041 | 65 | 1 | Population and Housing Census 2015 | 503 | 537 | named | named | census | Source: Own calculations based on the ⟦Population and Housing Census 2015⟧[16] | true | null | |
jdc_operational:000041 | 66 | 0 | Government statistics | 299 | 320 | descriptive | descriptive | report | Per student expenditure in 2017 is taken from ⟦Government statistics⟧[17] | true | null | |
jdc_operational:000041 | 68 | 2 | Income and Expenditure Survey | 199 | 228 | named | named | survey | Source: ⟦Income and Expenditure Survey⟧[18], 2010, Department of Statistics and own calculations | true | null | |
jdc_operational:000041 | 69 | 0 | Income and Expenditure Survey | 679 | 708 | named | named | survey | Source: ⟦Income and Expenditure Survey⟧[19], 2010, DOS and own calculations | true | null | |
jdc_operational:000041 | 69 | 1 | Income and Expenditure Survey | 1 | 30 | named | named | survey | ⟦Income and Expenditure Survey⟧[20], 2010, DOS and own calculations | true | null | |
jdc_operational:000041 | 6 | 1 | nancing Data | 1 | 13 | vague | vague | other | *⟦nancing Data⟧[21]** | false | null | |
jdc_operational:000042 | 4 | 0 | RDNA | 147 | 151 | named | named | other | urgent action as identified in the ⟦RDNA⟧[22] | false | null | |
jdc_operational:000043 | 1 | 1 | PROJECT FINANCING DATA | 635 | 657 | descriptive | vague | other | ## **⟦PROJECT FINANCING DATA⟧[23] (US$, Millions)** | false | null | |
jdc_operational:000043 | 3 | 0 | high frequency phone survey | 1,312 | 1,339 | descriptive | descriptive | survey | Data from the June 2020<sup>2</sup> Uganda Bureau of Statistics ⟦high frequency phone survey⟧[24] on the impact of the COVID-19 pandemic | true | null | |
jdc_operational:000043 | 3 | 1 | Facebook Future of Business Survey | 1,534 | 1,568 | named | named | survey | emerging data collected from several countries in the region (including Uganda) in the ⟦Facebook Future of Business Survey⟧[25] | true | null | |
jdc_operational:000043 | 4 | 1 | World Bank 20172019 data | 1,763 | 1,787 | named | named | database | Uganda remittances were US$1.3 billion in 2019, US$1.425 billion in 2018 and US$1.2 billion in 2017, ⟦World Bank 20172019 data⟧[26] | true | null | |
jdc_operational:000043 | 4 | 2 | World Bank 20172019 data | 124 | 148 | named | named | database | Uganda remittances were US$1.3 billion in 2019, US$1.425 billion in 2018 and US$1.2 billion in 2017, ⟦World Bank 20172019 data⟧[27] | true | null | |
jdc_operational:000043 | 4 | 2 | rapid survey of businesses | 205 | 231 | descriptive | descriptive | survey | conducted a ⟦rapid survey of businesses⟧[28] which indicated that three-quarters of businesses have laid off employees | true | null | |
jdc_operational:000043 | 5 | 0 | gender disaggregated data | 692 | 717 | descriptive | descriptive | other | All PFIs will be required to provide ⟦gender disaggregated data⟧[29] on their portfolios | true | null | |
jdc_operational:000043 | 5 | 0 | data on refugee or host community status | 805 | 845 | descriptive | descriptive | other | as well as ⟦data on refugee or host community status⟧[30] to ensure intersectional issues of exclusion are sufficiently addressed | true | null | |
jdc_operational:000044 | 2 | 1 | ILOSTAT database | 920 | 936 | named | named | database | International Labor Organization, ⟦ILOSTAT database⟧[1]. Data retrieved in April 2019. | true | null | |
jdc_operational:000044 | 3 | 1 | JLMPS 2016 data | 231 | 246 | named | named | survey | ⟦JLMPS 2016 data⟧[2] indicated that 91 percent of those who work are informal. | true | null | |
jdc_operational:000044 | 3 | 2 | World Development Indicators | 773 | 801 | named | named | database | > 4 ⟦World Development Indicators⟧[3]. Data retrieved June 2019 | true | null | |
jdc_operational:000044 | 4 | 1 | 2016 Labor Market Study | 1,204 | 1,227 | named | named | other | The findings of a ⟦2016 Labor Market Study⟧[4] conducted by the Jordanian ICT Association, Intaj revealed five core weaknesses | false | null | |
jdc_operational:000044 | 4 | 2 | Labor Force Survey | 489 | 507 | named | descriptive | survey | > 7 ⟦Labor Force Survey⟧[5], 2018 (DoS) | true | null |
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